{smcl}
{com}{sf}{ul off}{txt}{.-}
       log:  {res}G:\ISQ\g�_rn_jkr_ISQ_rep_online_appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Aug 2008, 16:07:44
{txt}
{com}. use "G:\ISQ\g�_rn_jkr_ISQ_replication.dta", clear
{txt}
{com}. do "C:\DOCUME~1\Ragnhild\LOCALS~1\Temp\STD00000000.tmp"
{txt}
{com}. * REPLICATION DATA FOR GUDRUN �STBY, RAGNHILD NORD�S & JAN KETIL R�D 
. * REGIONAL INEQUALITIES AND CIVIL CONFLICT IN SUB-SAHARAN AFRICA 
. * INTERNATIONAL STUDIES QUARTERLY
. 
. * SYNTAX FOR ANALYSES REPORTED IN ONLINE APPENDIX
. 
. set more off
{txt}
{com}. 
. 
. ****** Appendix C: Models with Restricted Sample
. 
. *generating filters (filter=year of survey + consecutive years; filter2=consecutive years only)
. 
. gen surv_yr=.
{txt}(6626 missing values generated)

{com}. replace surv_yr=        1995     if gwno==      432
{txt}(114 real changes made)

{com}. replace surv_yr=        1992     if gwno==      433
{txt}(190 real changes made)

{com}. replace surv_yr=        1996     if gwno==      434
{txt}(114 real changes made)

{com}. replace surv_yr=        1992     if gwno==      436
{txt}(133 real changes made)

{com}. replace surv_yr=        1994     if gwno==      437
{txt}(950 real changes made)

{com}. replace surv_yr=        1999     if gwno==      438
{txt}(627 real changes made)

{com}. replace surv_yr=        1992     if gwno==      439
{txt}(570 real changes made)

{com}. replace surv_yr=        1986     if gwno==      450
{txt}(247 real changes made)

{com}. replace surv_yr=        1993     if gwno==      452
{txt}(190 real changes made)

{com}. replace surv_yr=        1998     if gwno==      461
{txt}(399 real changes made)

{com}. replace surv_yr=        1998     if gwno==      471
{txt}(190 real changes made)

{com}. replace surv_yr=        1990     if gwno==      475
{txt}(589 real changes made)

{com}. replace surv_yr=        1994     if gwno==      482
{txt}(304 real changes made)

{com}. replace surv_yr=        1996     if gwno==      483
{txt}(266 real changes made)

{com}. replace surv_yr=        2000     if gwno==  500
{txt}(190 real changes made)

{com}. replace surv_yr=        1998     if gwno==      501
{txt}(133 real changes made)

{com}. replace surv_yr=        1999     if gwno==      510
{txt}(475 real changes made)

{com}. replace surv_yr=        1992     if gwno==      530
{txt}(247 real changes made)

{com}. replace surv_yr=        1999     if gwno==      552
{txt}(152 real changes made)

{com}. replace surv_yr=        2000     if gwno==      553
{txt}(57 real changes made)

{com}. replace surv_yr=        2000     if gwno==      565
{txt}(375 real changes made)

{com}. replace surv_yr=        1997     if gwno==      580
{txt}(114 real changes made)

{com}. 
. gen filter=1
{txt}
{com}. replace filter=0 if year<surv_yr
{txt}(3148 real changes made)

{com}. gen filter2=1
{txt}
{com}. replace filter2=0 if year<surv_yr
{txt}(3148 real changes made)

{com}. replace filter2=0 if year==surv_yr
{txt}(354 real changes made)

{com}. 
. *Re-analysing models with filter
. 
. 
. 
. *** TABLE C1, restricted sample
. * Model C1
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-455.88252
{txt}Iteration 2:   log pseudolikelihood = {res}-410.05514
{txt}Iteration 3:   log pseudolikelihood = {res}-405.81447
{txt}Iteration 4:   log pseudolikelihood = {res}-405.00141
{txt}Iteration 5:   log pseudolikelihood = {res}-404.99013
{txt}Iteration 6:   log pseudolikelihood = {res}-404.99013

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}11{txt})   = {res}     97.24
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.99013                 {txt}Pseudo R2       = {res}    0.1196

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0070977   .0507391     0.14   0.889     -.092349    .1065444
{txt}lag_ln_di~nc {c |}  {res}-.1158802   .0553579    -2.09   0.036    -.2243796   -.0073807
      {txt}intbnd {c |}  {res}-.6219756   .4270139    -1.46   0.145    -1.458907    .2149563
  {txt}pop_use_ln {c |}  {res}-.1672037   .1151657    -1.45   0.147    -.3929244    .0585169
     {txt}ethdiff {c |}  {res} .4250685   .3344497     1.27   0.204    -.2304408    1.080578
     {txt}dia_sec {c |}  {res} .7127815   .2203626     3.23   0.001     .2808787    1.144684
   {txt}peton_use {c |}  {res} .4001742   .4644802     0.86   0.389    -.5101902    1.310539
    {txt}peaceyrs {c |}  {res} .3920788   .1473376     2.66   0.008     .1033024    .6808552
    {txt}_spline1 {c |}  {res} .0103654   .0048334     2.14   0.032     .0008922    .0198386
    {txt}_spline2 {c |}  {res}-.0070643   .0042811    -1.65   0.099    -.0154552    .0013266
    {txt}_spline3 {c |}  {res}  .002049   .0022139     0.93   0.355    -.0022901     .006388
       {txt}_cons {c |}  {res}-.0006988    1.75578    -0.00   1.000    -3.441965    3.440568
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C2 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use  ///
>   peaceyrs _spline* asset if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-456.02934
{txt}Iteration 2:   log pseudolikelihood = {res}-409.90367
{txt}Iteration 3:   log pseudolikelihood = {res}-405.52433
{txt}Iteration 4:   log pseudolikelihood = {res}-404.66797
{txt}Iteration 5:   log pseudolikelihood = {res}-404.65573
{txt}Iteration 6:   log pseudolikelihood = {res}-404.65573

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    164.95
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.65573                 {txt}Pseudo R2       = {res}    0.1203

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res}  .007962   .0501421     0.16   0.874    -.0903147    .1062386
{txt}lag_ln_di~nc {c |}  {res}-.1200125   .0596417    -2.01   0.044     -.236908    -.003117
      {txt}intbnd {c |}  {res}-.5844103   .3962473    -1.47   0.140    -1.361041    .1922201
  {txt}pop_use_ln {c |}  {res}-.1600174   .1197257    -1.34   0.181    -.3946754    .0746407
     {txt}ethdiff {c |}  {res}  .419761   .3284448     1.28   0.201     -.223979    1.063501
     {txt}dia_sec {c |}  {res} .6989367   .2257652     3.10   0.002      .256445    1.141428
   {txt}peton_use {c |}  {res} .4018071   .4894065     0.82   0.412    -.5574121    1.361026
    {txt}peaceyrs {c |}  {res} .3892618   .1501612     2.59   0.010     .0949513    .6835723
    {txt}_spline1 {c |}  {res} .0106083   .0046751     2.27   0.023     .0014452    .0197713
    {txt}_spline2 {c |}  {res}-.0073165   .0040341    -1.81   0.070    -.0152232    .0005902
    {txt}_spline3 {c |}  {res} .0021721   .0020518     1.06   0.290    -.0018494    .0061935
       {txt}asset {c |}  {res} .7880638   1.990136     0.40   0.692    -3.112531    4.688659
       {txt}_cons {c |}  {res}-.2089658   1.811099    -0.12   0.908    -3.758654    3.340722
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C3 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}  -448.805
{txt}Iteration 2:   log pseudolikelihood = {res}-400.08533
{txt}Iteration 3:   log pseudolikelihood = {res}-397.22648
{txt}Iteration 4:   log pseudolikelihood = {res}-396.85273
{txt}Iteration 5:   log pseudolikelihood = {res}-396.83591
{txt}Iteration 6:   log pseudolikelihood = {res} -396.8359

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    155.66
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res} -396.8359                 {txt}Pseudo R2       = {res}    0.1373

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0183726   .0465848     0.39   0.693     -.072932    .1096772
{txt}lag_ln_di~nc {c |}  {res}-.1157694   .0543204    -2.13   0.033    -.2222355   -.0093033
      {txt}intbnd {c |}  {res} -.784486   .4093495    -1.92   0.055    -1.586796    .0178243
  {txt}pop_use_ln {c |}  {res}-.1296394   .1202536    -1.08   0.281    -.3653321    .1060533
     {txt}ethdiff {c |}  {res} .4963304   .3846825     1.29   0.197    -.2576334    1.250294
     {txt}dia_sec {c |}  {res}  .735747   .2372718     3.10   0.002     .2707029    1.200791
   {txt}peton_use {c |}  {res} .6511663   .3694787     1.76   0.078    -.0729987    1.375331
    {txt}peaceyrs {c |}  {res} .3399325   .1393116     2.44   0.015     .0668867    .6129782
    {txt}_spline1 {c |}  {res} .0061285    .003875     1.58   0.114    -.0014663    .0137234
    {txt}_spline2 {c |}  {res}  -.00303   .0034532    -0.88   0.380    -.0097982    .0037382
    {txt}_spline3 {c |}  {res} .0000783   .0018778     0.04   0.967    -.0036021    .0037586
   {txt}education {c |}  {res}-.2938649    .108837    -2.70   0.007    -.5071815   -.0805483
       {txt}_cons {c |}  {res}-.2358979   1.957999    -0.12   0.904    -4.073505    3.601709
{txt}{hline 13}{c BT}{hline 64}
Note: 6 failures and 0 successes completely determined.

{com}. 
. 
. 
. *** TABLE C2, restricted sample 
. * Model C4
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrgas if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-455.69903
{txt}Iteration 2:   log pseudolikelihood = {res}-409.91783
{txt}Iteration 3:   log pseudolikelihood = {res}-405.54785
{txt}Iteration 4:   log pseudolikelihood = {res}-404.69991
{txt}Iteration 5:   log pseudolikelihood = {res}-404.68798
{txt}Iteration 6:   log pseudolikelihood = {res}-404.68797

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    444.15
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.68797                 {txt}Pseudo R2       = {res}    0.1202

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0064216   .0512485     0.13   0.900    -.0940235    .1068668
{txt}lag_ln_di~nc {c |}  {res}-.1182723   .0552641    -2.14   0.032     -.226588   -.0099566
      {txt}intbnd {c |}  {res}-.6089737   .4201542    -1.45   0.147    -1.432461    .2145134
  {txt}pop_use_ln {c |}  {res}-.1623683   .1199741    -1.35   0.176    -.3975132    .0727765
     {txt}ethdiff {c |}  {res} .4499255   .3433111     1.31   0.190    -.2229518    1.122803
     {txt}dia_sec {c |}  {res} .6865165   .2165877     3.17   0.002     .2620124    1.111021
   {txt}peton_use {c |}  {res} .3653213   .4915738     0.74   0.457    -.5981455    1.328788
    {txt}peaceyrs {c |}  {res} .3978206    .149829     2.66   0.008     .1041612      .69148
    {txt}_spline1 {c |}  {res} .0106318   .0048215     2.21   0.027     .0011818    .0200817
    {txt}_spline2 {c |}  {res}-.0072902   .0042419    -1.72   0.086    -.0156042    .0010238
    {txt}_spline3 {c |}  {res} .0021467   .0021868     0.98   0.326    -.0021394    .0064328
      {txt}rdrgas {c |}  {res}-.1899384   .2765399    -0.69   0.492    -.7319466    .3520699
       {txt}_cons {c |}  {res} .0181318   1.747743     0.01   0.992    -3.407381    3.443644
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C5 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrged if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-455.89193
{txt}Iteration 2:   log pseudolikelihood = {res}-410.04446
{txt}Iteration 3:   log pseudolikelihood = {res}-405.78887
{txt}Iteration 4:   log pseudolikelihood = {res}-404.96951
{txt}Iteration 5:   log pseudolikelihood = {res}-404.95817
{txt}Iteration 6:   log pseudolikelihood = {res}-404.95816

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}     96.74
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.95816                 {txt}Pseudo R2       = {res}    0.1196

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0071581    .050859     0.14   0.888    -.0925236    .1068399
{txt}lag_ln_di~nc {c |}  {res} -.115648   .0555097    -2.08   0.037    -.2244451    -.006851
      {txt}intbnd {c |}  {res}-.6171476   .4283822    -1.44   0.150    -1.456761     .222466
  {txt}pop_use_ln {c |}  {res}-.1672633    .115055    -1.45   0.146     -.392767    .0582404
     {txt}ethdiff {c |}  {res} .4315605   .3460158     1.25   0.212    -.2466181    1.109739
     {txt}dia_sec {c |}  {res} .7072812   .2121797     3.33   0.001     .2914166    1.123146
   {txt}peton_use {c |}  {res} .3896686   .4837316     0.81   0.421     -.558428    1.337765
    {txt}peaceyrs {c |}  {res} .3927329   .1476643     2.66   0.008     .1033162    .6821495
    {txt}_spline1 {c |}  {res} .0104181   .0048376     2.15   0.031     .0009367    .0198996
    {txt}_spline2 {c |}  {res}-.0071128   .0042895    -1.66   0.097      -.01552    .0012943
    {txt}_spline3 {c |}  {res} .0020717   .0022233     0.93   0.351    -.0022859    .0064292
      {txt}rdrged {c |}  {res}-.0333128    .170979    -0.19   0.846    -.3684255    .3017999
       {txt}_cons {c |}  {res} .0110776    1.71867     0.01   0.995    -3.357454    3.379609
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C6 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrgas_c rdrgas2_c if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-454.50365
{txt}Iteration 2:   log pseudolikelihood = {res} -408.3796
{txt}Iteration 3:   log pseudolikelihood = {res}-403.94359
{txt}Iteration 4:   log pseudolikelihood = {res}-403.15404
{txt}Iteration 5:   log pseudolikelihood = {res}-403.14385
{txt}Iteration 6:   log pseudolikelihood = {res}-403.14385

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}13{txt})   = {res}    441.05
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-403.14385                 {txt}Pseudo R2       = {res}    0.1236

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0052806   .0526173     0.10   0.920    -.0978474    .1084085
{txt}lag_ln_di~nc {c |}  {res}-.1164163   .0561578    -2.07   0.038    -.2264835   -.0063491
      {txt}intbnd {c |}  {res}-.6215322   .4234438    -1.47   0.142    -1.451467    .2084024
  {txt}pop_use_ln {c |}  {res}-.1705608   .1118066    -1.53   0.127    -.3896977     .048576
     {txt}ethdiff {c |}  {res} .4661969    .352738     1.32   0.186    -.2251567    1.157551
     {txt}dia_sec {c |}  {res} .7512001   .2291415     3.28   0.001     .3020911    1.200309
   {txt}peton_use {c |}  {res} .3895408   .4874029     0.80   0.424    -.5657514    1.344833
    {txt}peaceyrs {c |}  {res} .3960884   .1545334     2.56   0.010     .0932086    .6989682
    {txt}_spline1 {c |}  {res} .0106575   .0048745     2.19   0.029     .0011036    .0202115
    {txt}_spline2 {c |}  {res}-.0073134   .0042929    -1.70   0.088    -.0157273    .0011005
    {txt}_spline3 {c |}  {res} .0021486   .0022108     0.97   0.331    -.0021844    .0064816
    {txt}rdrgas_c {c |}  {res} -.363393   .2324138    -1.56   0.118    -.8189157    .0921296
   {txt}rdrgas2_c {c |}  {res} .5481038   .1695036     3.23   0.001     .2158828    .8803248
       {txt}_cons {c |}  {res}-.0641992   1.717033    -0.04   0.970    -3.429521    3.301123
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C7 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrged_c rdrged2_c if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-456.14191
{txt}Iteration 2:   log pseudolikelihood = {res}-410.01544
{txt}Iteration 3:   log pseudolikelihood = {res}-405.78656
{txt}Iteration 4:   log pseudolikelihood = {res}-404.96214
{txt}Iteration 5:   log pseudolikelihood = {res}-404.95069
{txt}Iteration 6:   log pseudolikelihood = {res}-404.95068

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}13{txt})   = {res}    117.59
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.95068                 {txt}Pseudo R2       = {res}    0.1197

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0072893   .0510732     0.14   0.887    -.0928125     .107391
{txt}lag_ln_di~nc {c |}  {res}-.1154476   .0556039    -2.08   0.038    -.2244292    -.006466
      {txt}intbnd {c |}  {res} -.617402   .4272731    -1.44   0.148    -1.454842     .220038
  {txt}pop_use_ln {c |}  {res}-.1670202   .1142141    -1.46   0.144    -.3908757    .0568352
     {txt}ethdiff {c |}  {res} .4270794   .3630933     1.18   0.240    -.2845703    1.138729
     {txt}dia_sec {c |}  {res} .7074426   .2118105     3.34   0.001     .2923017    1.122583
   {txt}peton_use {c |}  {res}  .395281   .4766679     0.83   0.407    -.5389709    1.329533
    {txt}peaceyrs {c |}  {res} .3925939    .147946     2.65   0.008      .102625    .6825628
    {txt}_spline1 {c |}  {res} .0104026   .0048682     2.14   0.033     .0008612     .019944
    {txt}_spline2 {c |}  {res}-.0070983   .0043247    -1.64   0.101    -.0155746     .001378
    {txt}_spline3 {c |}  {res} .0020648   .0022463     0.92   0.358    -.0023378    .0064674
    {txt}rdrged_c {c |}  {res}-.0181494   .2023263    -0.09   0.929    -.4147016    .3784028
   {txt}rdrged2_c {c |}  {res}-.0103768   .0650495    -0.16   0.873    -.1378714    .1171179
       {txt}_cons {c |}  {res}-.0014942   1.750833    -0.00   0.999    -3.433065    3.430076
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. 
. 
. *** TABLE C3, restricted sample
. * Model C8
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* asset_gini if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-454.61488
{txt}Iteration 2:   log pseudolikelihood = {res}-406.10025
{txt}Iteration 3:   log pseudolikelihood = {res}-402.23831
{txt}Iteration 4:   log pseudolikelihood = {res}-401.56656
{txt}Iteration 5:   log pseudolikelihood = {res}-401.55865
{txt}Iteration 6:   log pseudolikelihood = {res}-401.55865

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    123.16
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-401.55865                 {txt}Pseudo R2       = {res}    0.1270

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0073709   .0524367     0.14   0.888    -.0954031    .1101448
{txt}lag_ln_di~nc {c |}  {res}-.0992755   .0555817    -1.79   0.074    -.2082136    .0096626
      {txt}intbnd {c |}  {res}-.7465157   .4123775    -1.81   0.070    -1.554761    .0617294
  {txt}pop_use_ln {c |}  {res}-.2010934   .1152921    -1.74   0.081    -.4270617    .0248749
     {txt}ethdiff {c |}  {res} .4364802   .3561517     1.23   0.220    -.2615642    1.134525
     {txt}dia_sec {c |}  {res} .7335151   .2262365     3.24   0.001     .2900997     1.17693
   {txt}peton_use {c |}  {res} .3971601   .4208201     0.94   0.345    -.4276322    1.221952
    {txt}peaceyrs {c |}  {res} .3882467   .1446553     2.68   0.007     .1047276    .6717658
    {txt}_spline1 {c |}  {res} .0094629   .0043724     2.16   0.030     .0008932    .0180326
    {txt}_spline2 {c |}  {res}-.0062556   .0038921    -1.61   0.108     -.013884    .0013729
    {txt}_spline3 {c |}  {res} .0016906   .0020735     0.82   0.415    -.0023733    .0057545
  {txt}asset_gini {c |}  {res} 2.204571   1.334789     1.65   0.099    -.4115667    4.820708
       {txt}_cons {c |}  {res}-1.064664   1.796173    -0.59   0.553    -4.585098     2.45577
{txt}{hline 13}{c BT}{hline 64}
Note: 16 failures and 0 successes completely determined.

{com}. 
. * Model C9
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education_gini if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-448.53832
{txt}Iteration 2:   log pseudolikelihood = {res}-398.88065
{txt}Iteration 3:   log pseudolikelihood = {res}-395.86231
{txt}Iteration 4:   log pseudolikelihood = {res}-395.42004
{txt}Iteration 5:   log pseudolikelihood = {res}-395.40647
{txt}Iteration 6:   log pseudolikelihood = {res}-395.40646

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    181.28
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-395.40646                 {txt}Pseudo R2       = {res}    0.1404

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0185753   .0463089     0.40   0.688    -.0721885    .1093391
{txt}lag_ln_di~nc {c |}  {res}-.1142299    .054404    -2.10   0.036    -.2208598   -.0076001
      {txt}intbnd {c |}  {res}-.7823283    .409457    -1.91   0.056    -1.584849    .0201926
  {txt}pop_use_ln {c |}  {res}-.1361711   .1218808    -1.12   0.264    -.3750531    .1027109
     {txt}ethdiff {c |}  {res} .4206106   .3997419     1.05   0.293    -.3628691     1.20409
     {txt}dia_sec {c |}  {res} .7489569   .2392935     3.13   0.002     .2799503    1.217964
   {txt}peton_use {c |}  {res} .6741756   .3742406     1.80   0.072    -.0593224    1.407674
    {txt}peaceyrs {c |}  {res} .3492168   .1413788     2.47   0.014     .0721195    .6263141
    {txt}_spline1 {c |}  {res} .0065456   .0039088     1.67   0.094    -.0011156    .0142067
    {txt}_spline2 {c |}  {res}-.0034253   .0034676    -0.99   0.323    -.0102216     .003371
    {txt}_spline3 {c |}  {res} .0002774   .0018776     0.15   0.883    -.0034026    .0039575
{txt}education_~i {c |}  {res} 2.958312   1.031825     2.87   0.004     .9359722    4.980652
       {txt}_cons {c |}  {res} -2.99021   1.945866    -1.54   0.124    -6.804038    .8236179
{txt}{hline 13}{c BT}{hline 64}
Note: 6 failures and 0 successes completely determined.

{com}. 
. * Model C10 
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* elf_reg if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.01177
{txt}Iteration 1:   log pseudolikelihood = {res}-453.31983
{txt}Iteration 2:   log pseudolikelihood = {res}-408.95876
{txt}Iteration 3:   log pseudolikelihood = {res}-404.71296
{txt}Iteration 4:   log pseudolikelihood = {res}-403.89773
{txt}Iteration 5:   log pseudolikelihood = {res}-403.88647
{txt}Iteration 6:   log pseudolikelihood = {res}-403.88646

{txt}Logistic regression                               Number of obs   = {res}      3211
                                                  {txt}Wald chi2({res}12{txt})   = {res}    292.82
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-403.88646                 {txt}Pseudo R2       = {res}    0.1201

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0076865   .0508415     0.15   0.880     -.091961    .1073339
{txt}lag_ln_di~nc {c |}  {res}-.1161056   .0553913    -2.10   0.036    -.2246705   -.0075408
      {txt}intbnd {c |}  {res}-.6536266   .4187576    -1.56   0.119    -1.474376    .1671232
  {txt}pop_use_ln {c |}  {res}-.1739364    .117432    -1.48   0.139    -.4040988     .056226
     {txt}ethdiff {c |}  {res} .4369592   .3258129     1.34   0.180    -.2016223    1.075541
     {txt}dia_sec {c |}  {res} .6938694   .2243271     3.09   0.002     .2541964    1.133542
   {txt}peton_use {c |}  {res} .3983342   .4930325     0.81   0.419    -.5679918     1.36466
    {txt}peaceyrs {c |}  {res} .3931169   .1501921     2.62   0.009     .0987459     .687488
    {txt}_spline1 {c |}  {res} .0104356   .0049075     2.13   0.033      .000817    .0200542
    {txt}_spline2 {c |}  {res} -.007116   .0043497    -1.64   0.102    -.0156412    .0014092
    {txt}_spline3 {c |}  {res} .0020596   .0022467     0.92   0.359    -.0023438    .0064631
     {txt}elf_reg {c |}  {res} .0918044   .5372033     0.17   0.864    -.9610947    1.144704
       {txt}_cons {c |}  {res} .0620916   1.794529     0.03   0.972    -3.455121    3.579304
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C11
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education_gini asset_gini elf_reg if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.01177
{txt}Iteration 1:   log pseudolikelihood = {res}-447.50356
{txt}Iteration 2:   log pseudolikelihood = {res}-396.50079
{txt}Iteration 3:   log pseudolikelihood = {res} -393.5418
{txt}Iteration 4:   log pseudolikelihood = {res}-393.13022
{txt}Iteration 5:   log pseudolikelihood = {res}-393.11928
{txt}Iteration 6:   log pseudolikelihood = {res}-393.11928

{txt}Logistic regression                               Number of obs   = {res}      3211
                                                  {txt}Wald chi2({res}14{txt})   = {res}    245.15
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-393.11928                 {txt}Pseudo R2       = {res}    0.1436

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0186904   .0488546     0.38   0.702     -.077063    .1144437
{txt}lag_ln_di~nc {c |}  {res}-.1025719   .0564126    -1.82   0.069    -.2131385    .0079947
      {txt}intbnd {c |}  {res}-.8866684   .3775527    -2.35   0.019    -1.626658   -.1466788
  {txt}pop_use_ln {c |}  {res}-.1670652   .1210655    -1.38   0.168    -.4043492    .0702188
     {txt}ethdiff {c |}  {res} .4159696   .3978942     1.05   0.296    -.3638887    1.195828
     {txt}dia_sec {c |}  {res} .7441532   .2334055     3.19   0.001     .2866868     1.20162
   {txt}peton_use {c |}  {res} .6236875   .3915307     1.59   0.111    -.1436987    1.391074
    {txt}peaceyrs {c |}  {res} .3539008   .1481838     2.39   0.017     .0634659    .6443357
    {txt}_spline1 {c |}  {res} .0063797   .0037888     1.68   0.092    -.0010463    .0138057
    {txt}_spline2 {c |}  {res}-.0032771   .0034003    -0.96   0.335    -.0099416    .0033875
    {txt}_spline3 {c |}  {res} .0002114   .0019031     0.11   0.912    -.0035186    .0039415
{txt}education_~i {c |}  {res} 2.700879   1.004676     2.69   0.007     .7317514    4.670007
  {txt}asset_gini {c |}  {res}   1.5771   1.487419     1.06   0.289    -1.338187    4.492388
     {txt}elf_reg {c |}  {res} .0574606   .5437025     0.11   0.916    -1.008177    1.123098
       {txt}_cons {c |}  {res}-3.447354   2.015098    -1.71   0.087    -7.396875    .5021658
{txt}{hline 13}{c BT}{hline 64}
Note: 6 failures and 0 successes completely determined.

{com}. 
. 
. 
. *** TABLE C4, restricted sample
. * Model C12
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* dia_sec rdrgas_c rdrgas_dia if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-417.95824
{txt}Iteration 2:   log pseudolikelihood = {res}-409.36421
{txt}Iteration 3:   log pseudolikelihood = {res}-405.90052
{txt}Iteration 4:   log pseudolikelihood = {res}-404.68696
{txt}Iteration 5:   log pseudolikelihood = {res}-404.66229
{txt}Iteration 6:   log pseudolikelihood = {res}-404.66226

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    114.90
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-404.66226                 {txt}Pseudo R2       = {res}    0.1203

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0060593   .0536939     0.11   0.910    -.0991789    .1112975
{txt}lag_ln_di~nc {c |}  {res}-.1190631   .0557256    -2.14   0.033    -.2282832   -.0098429
      {txt}intbnd {c |}  {res}-.6111901   .4262689    -1.43   0.152    -1.446662    .2242815
  {txt}pop_use_ln {c |}  {res} -.146786   .1193203    -1.23   0.219    -.3806494    .0870775
     {txt}ethdiff {c |}  {res}   .43502   .3418217     1.27   0.203    -.2349382    1.104978
    {txt}peaceyrs {c |}  {res} .4113019   .1698289     2.42   0.015     .0784434    .7441604
    {txt}_spline1 {c |}  {res}  .010994   .0050255     2.19   0.029     .0011441    .0208438
    {txt}_spline2 {c |}  {res}-.0076047     .00443    -1.72   0.086    -.0162873    .0010779
    {txt}_spline3 {c |}  {res} .0022999   .0022937     1.00   0.316    -.0021957    .0067954
     {txt}dia_sec {c |}  {res} .6329241   .1925747     3.29   0.001     .2554846    1.010364
    {txt}rdrgas_c {c |}  {res}-.2317613   .2619582    -0.88   0.376    -.7451901    .2816674
  {txt}rdrgas_dia {c |}  {res} .6734629   .7203962     0.93   0.350    -.7384877    2.085413
       {txt}_cons {c |}  {res}-.1768789   1.746247    -0.10   0.919     -3.59946    3.245702
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C13
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* peton_use  rdrgas_c rdrgas_pet if filter==1, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-455.08445
{txt}Iteration 2:   log pseudolikelihood = {res}-411.99478
{txt}Iteration 3:   log pseudolikelihood = {res}-407.57675
{txt}Iteration 4:   log pseudolikelihood = {res}-406.53954
{txt}Iteration 5:   log pseudolikelihood = {res}-406.52234
{txt}Iteration 6:   log pseudolikelihood = {res}-406.52232

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    125.78
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-406.52232                 {txt}Pseudo R2       = {res}    0.1162

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0057558   .0548444     0.10   0.916    -.1017371    .1132488
{txt}lag_ln_di~nc {c |}  {res}-.1319611   .0595863    -2.21   0.027    -.2487481   -.0151741
      {txt}intbnd {c |}  {res}-.6581793   .4247381    -1.55   0.121    -1.490651    .1742922
  {txt}pop_use_ln {c |}  {res} -.159771   .1186109    -1.35   0.178     -.392244     .072702
     {txt}ethdiff {c |}  {res} .4892932   .3582089     1.37   0.172    -.2127833     1.19137
    {txt}peaceyrs {c |}  {res} .3818511   .1493721     2.56   0.011     .0890873     .674615
    {txt}_spline1 {c |}  {res} .0107938   .0048316     2.23   0.025     .0013239    .0202636
    {txt}_spline2 {c |}  {res}-.0076007    .004328    -1.76   0.079    -.0160834     .000882
    {txt}_spline3 {c |}  {res} .0023696   .0022616     1.05   0.295     -.002063    .0068022
   {txt}peton_use {c |}  {res} .1842011   .3905103     0.47   0.637     -.581185    .9495872
    {txt}rdrgas_c {c |}  {res}-.3091646   .2786657    -1.11   0.267    -.8553393    .2370101
  {txt}rdrgas_pet {c |}  {res} 1.389903   1.026225     1.35   0.176    -.6214612    3.401268
       {txt}_cons {c |}  {res}  .312245   1.778462     0.18   0.861    -3.173476    3.797966
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. * Model C4
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* nr_c  rdrgas_c rdrgas_nr if filter==1, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-459.99485
{txt}Iteration 1:   log pseudolikelihood = {res}-416.85503
{txt}Iteration 2:   log pseudolikelihood = {res}-407.95905
{txt}Iteration 3:   log pseudolikelihood = {res}-404.28089
{txt}Iteration 4:   log pseudolikelihood = {res}-402.99382
{txt}Iteration 5:   log pseudolikelihood = {res}-402.96722
{txt}Iteration 6:   log pseudolikelihood = {res}-402.96719

{txt}Logistic regression                               Number of obs   = {res}      3241
                                                  {txt}Wald chi2({res}12{txt})   = {res}    147.41
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-402.96719                 {txt}Pseudo R2       = {res}    0.1240

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0001961   .0523497     0.00   0.997    -.1024075    .1027997
{txt}lag_ln_di~nc {c |}  {res}-.1275173   .0554354    -2.30   0.021    -.2361686   -.0188659
      {txt}intbnd {c |}  {res}-.6325836   .4382955    -1.44   0.149    -1.491627    .2264598
  {txt}pop_use_ln {c |}  {res}-.1479939   .1379889    -1.07   0.283    -.4184472    .1224593
     {txt}ethdiff {c |}  {res} .4262406   .3404585     1.25   0.211    -.2410458    1.093527
    {txt}peaceyrs {c |}  {res} .4471891   .1700719     2.63   0.009     .1138544    .7805238
    {txt}_spline1 {c |}  {res} .0113681   .0048494     2.34   0.019     .0018634    .0208728
    {txt}_spline2 {c |}  {res}-.0077824   .0042622    -1.83   0.068    -.0161362    .0005714
    {txt}_spline3 {c |}  {res}  .002321   .0022108     1.05   0.294    -.0020121     .006654
        {txt}nr_c {c |}  {res} .5500969   .2468961     2.23   0.026     .0661895    1.034004
    {txt}rdrgas_c {c |}  {res}-.2428546   .2304689    -1.05   0.292    -.6945654    .2088562
   {txt}rdrgas_nr {c |}  {res} 1.173348   .7151199     1.64   0.101    -.2282609    2.574958
       {txt}_cons {c |}  {res}-.0664507   1.985265    -0.03   0.973    -3.957499    3.824598
{txt}{hline 13}{c BT}{hline 64}
Note: 18 failures and 0 successes completely determined.

{com}. 
. 
. 
. 
. 
. 
. ****** Appendix D: Random effects
. 
. xtset fid_1
{txt}{col 8}panel variable:  {res}fid_1 (unbalanced)
{txt}
{com}. 
. 
. 
. *** TABLE D1, random effects
. * Model D1
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline*, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-663.95334
{txt}Iteration 2:   log likelihood = {res}-628.08245
{txt}Iteration 3:   log likelihood = {res}-625.59329
{txt}Iteration 4:   log likelihood = {res}-625.53629
{txt}Iteration 5:   log likelihood = {res}-625.53625

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-625.53625
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-625.00235
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-625.35573

{txt}Iteration 0:{col 16}log likelihood = {res}-625.00235{txt}  
Iteration 1:{col 16}log likelihood = {res}-624.47192{txt}  
Iteration 2:{col 16}log likelihood = {res}-623.67192{txt}  
Iteration 3:{col 16}log likelihood = {res}-623.50396{txt}  
Iteration 4:{col 16}log likelihood = {res}-623.50076{txt}  
Iteration 5:{col 16}log likelihood = {res}-623.50075{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}11{txt}){col 68}={col 70}{res}    96.64
{txt}Log likelihood  = {res}-623.50075{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0128735   .0292015     0.44   0.659    -.0443604    .0701074
{txt}lag_ln_di~nc {c |}  {res}-.0870687   .0180987    -4.81   0.000    -.1225415   -.0515958
      {txt}intbnd {c |}  {res}-.2086874   .2135523    -0.98   0.328    -.6272421    .2098674
  {txt}pop_use_ln {c |}  {res}-.0134135   .0650408    -0.21   0.837    -.1408911    .1140642
     {txt}ethdiff {c |}  {res} .0506913   .2066228     0.25   0.806     -.354282    .4556645
     {txt}dia_sec {c |}  {res} .7886403   .2399133     3.29   0.001     .3184188    1.258862
   {txt}peton_use {c |}  {res} .7168699   .3112874     2.30   0.021     .1067578    1.326982
    {txt}peaceyrs {c |}  {res} .2286859   .1098459     2.08   0.037      .013392    .4439799
    {txt}_spline1 {c |}  {res} .0053364   .0020412     2.61   0.009     .0013358    .0093371
    {txt}_spline2 {c |}  {res}-.0027727   .0015969    -1.74   0.083    -.0059026    .0003572
    {txt}_spline3 {c |}  {res} .0000296   .0007719     0.04   0.969    -.0014832    .0015424
       {txt}_cons {c |}  {res}-2.751339   .9328586    -2.95   0.003    -4.579708   -.9229697
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9076374   .3629698{col 58}-1.619045   -.1962297
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6351979   .1152788{col 58} .4450705    .9065448
         {txt}rho {c |}  {res} .1092442   .0353205{col 58} .0567919    .1998748
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    4.07{txt} Prob >= chibar2 = {res}0.022
{txt}
{com}. 
. * Model D2
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use  ///
>   peaceyrs _spline* asset, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res} -666.1714
{txt}Iteration 2:   log likelihood = {res}-626.87216
{txt}Iteration 3:   log likelihood = {res}-624.15598
{txt}Iteration 4:   log likelihood = {res}-624.09444
{txt}Iteration 5:   log likelihood = {res}-624.09439

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-624.09439
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-623.72856
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-624.23317

{txt}Iteration 0:{col 16}log likelihood = {res}-623.72856{txt}  
Iteration 1:{col 16}log likelihood = {res}-623.22439{txt}  
Iteration 2:{col 16}log likelihood = {res}-622.56388{txt}  
Iteration 3:{col 16}log likelihood = {res}-622.50064{txt}  
Iteration 4:{col 16}log likelihood = {res}-622.49993{txt}  
Iteration 5:{col 16}log likelihood = {res}-622.49993{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    99.25
{txt}Log likelihood  = {res}-622.49993{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0127788    .029177     0.44   0.661    -.0444071    .0699647
{txt}lag_ln_di~nc {c |}  {res}-.0818111   .0184866    -4.43   0.000    -.1180443   -.0455779
      {txt}intbnd {c |}  {res}-.2790086   .2190403    -1.27   0.203    -.7083198    .1503026
  {txt}pop_use_ln {c |}  {res}-.0321956   .0665789    -0.48   0.629    -.1626879    .0982967
     {txt}ethdiff {c |}  {res} .0493752   .2064585     0.24   0.811     -.355276    .4540265
     {txt}dia_sec {c |}  {res} .7662738   .2398241     3.20   0.001     .2962272     1.23632
   {txt}peton_use {c |}  {res} .6991318   .3121805     2.24   0.025     .0872692    1.310994
    {txt}peaceyrs {c |}  {res} .2418502   .1108847     2.18   0.029     .0245202    .4591803
    {txt}_spline1 {c |}  {res} .0054468   .0020466     2.66   0.008     .0014355    .0094581
    {txt}_spline2 {c |}  {res}-.0027852   .0015994    -1.74   0.082      -.00592    .0003496
    {txt}_spline3 {c |}  {res}-2.88e-06   .0007737    -0.00   0.997    -.0015192    .0015135
       {txt}asset {c |}  {res}-1.283459   .9173388    -1.40   0.162    -3.081409    .5144924
       {txt}_cons {c |}  {res}-2.270227   .9940691    -2.28   0.022    -4.218567   -.3218873
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9477962   .3995366{col 58}-1.730874   -.1647189
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6225707   .1243699{col 58} .4208677    .9209409
         {txt}rho {c |}  {res} .1053972   .0376718{col 58} .0510902    .2049618
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.19{txt} Prob >= chibar2 = {res}0.037
{txt}
{com}. 
. * Model D3
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-672.72608
{txt}Iteration 2:   log likelihood = {res}-594.82752
{txt}Iteration 3:   log likelihood = {res}-589.28992
{txt}Iteration 4:   log likelihood = {res}-589.09215
{txt}Iteration 5:   log likelihood = {res}-589.09175

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-589.09175
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-589.92072

{txt}Iteration 0:{col 16}log likelihood = {res}-589.92072{txt}  
Iteration 1:{col 16}log likelihood = {res}-589.36048{txt}  
Iteration 2:{col 16}log likelihood = {res}-589.32482{txt}  
Iteration 3:{col 16}log likelihood = {res}-589.32199{txt}  
Iteration 4:{col 16}log likelihood = {res}-589.32197{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}   174.55
{txt}Log likelihood  = {res}-589.32197{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res}  .024719   .0281107     0.88   0.379    -.0303769     .079815
{txt}lag_ln_di~nc {c |}  {res}-.0802849   .0170582    -4.71   0.000    -.1137183   -.0468515
      {txt}intbnd {c |}  {res} -.525116   .2044963    -2.57   0.010    -.9259213   -.1243108
  {txt}pop_use_ln {c |}  {res} .0207679   .0677356     0.31   0.759    -.1119915    .1535273
     {txt}ethdiff {c |}  {res} .0947549   .1960072     0.48   0.629    -.2894122    .4789219
     {txt}dia_sec {c |}  {res} .6366085   .2183266     2.92   0.004     .2086963    1.064521
   {txt}peton_use {c |}  {res} .7375581   .2888788     2.55   0.011      .171366     1.30375
    {txt}peaceyrs {c |}  {res} .3307884   .1082794     3.05   0.002     .1185646    .5430122
    {txt}_spline1 {c |}  {res} .0060634   .0020296     2.99   0.003     .0020856    .0100413
    {txt}_spline2 {c |}  {res}-.0025186   .0016082    -1.57   0.117    -.0056707    .0006335
    {txt}_spline3 {c |}  {res}-.0005352   .0007911    -0.68   0.499    -.0020857    .0010153
   {txt}education {c |}  {res}-.3978235   .0561925    -7.08   0.000    -.5079587   -.2876883
       {txt}_cons {c |}  {res}-2.224569   .9629492    -2.31   0.021    -4.111915   -.3372234
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-3.161991     .66553{col 58}-4.466406   -1.857576
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .2057701   .0684731{col 58} .1071846    .3950321
         {txt}rho {c |}  {res} .0127067   .0083492{col 58} .0034799    .0452856
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    0.46{txt} Prob >= chibar2 = {res}0.249
{txt}
{com}. 
. 
. 
. *** TABLE D2, random effects
. * Model D4
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrgas, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-666.63327
{txt}Iteration 2:   log likelihood = {res}-626.93626
{txt}Iteration 3:   log likelihood = {res}-624.26718
{txt}Iteration 4:   log likelihood = {res}-624.20838
{txt}Iteration 5:   log likelihood = {res}-624.20834

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-624.20834
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-623.76445
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-624.17438

{txt}Iteration 0:{col 16}log likelihood = {res}-623.76445{txt}  
Iteration 1:{col 16}log likelihood = {res}-623.27971{txt}  
Iteration 2:{col 16}log likelihood = {res}-622.81577{txt}  
Iteration 3:{col 16}log likelihood = {res}-622.44476{txt}  
Iteration 4:{col 16}log likelihood = {res}-622.42982{txt}  
Iteration 5:{col 16}log likelihood = {res}-622.42981{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    99.20
{txt}Log likelihood  = {res}-622.42981{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0145638    .029098     0.50   0.617    -.0424672    .0715948
{txt}lag_ln_di~nc {c |}  {res}-.0830529   .0183454    -4.53   0.000    -.1190092   -.0470966
      {txt}intbnd {c |}  {res}-.2465309   .2153126    -1.14   0.252    -.6685358     .175474
  {txt}pop_use_ln {c |}  {res}-.0191551    .065523    -0.29   0.770    -.1475778    .1092677
     {txt}ethdiff {c |}  {res}-.0023423    .210147    -0.01   0.991    -.4142229    .4095383
     {txt}dia_sec {c |}  {res} .8022494        .24     3.34   0.001      .331858    1.272641
   {txt}peton_use {c |}  {res} .7415299    .312242     2.37   0.018     .1295468    1.353513
    {txt}peaceyrs {c |}  {res} .2290173   .1100269     2.08   0.037     .0133685     .444666
    {txt}_spline1 {c |}  {res} .0052618   .0020433     2.58   0.010      .001257    .0092667
    {txt}_spline2 {c |}  {res}-.0026903   .0015995    -1.68   0.093    -.0058252    .0004446
    {txt}_spline3 {c |}  {res}-.0000164   .0007736    -0.02   0.983    -.0015327    .0014999
      {txt}rdrgas {c |}  {res} .3275772   .2225788     1.47   0.141    -.1086693    .7638237
       {txt}_cons {c |}  {res}-2.769592    .937901    -2.95   0.003    -4.607844   -.9313396
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9295921   .3812674{col 58}-1.676863   -.1823217
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6282632   .1197682{col 58} .4323883    .9128709
         {txt}rho {c |}  {res}  .107126   .0364682{col 58}  .053773    .2021083
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.56{txt} Prob >= chibar2 = {res}0.030
{txt}
{com}. 
. * Model D5
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrged, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-664.88682
{txt}Iteration 2:   log likelihood = {res}-627.57518
{txt}Iteration 3:   log likelihood = {res}-624.99578
{txt}Iteration 4:   log likelihood = {res} -624.9366
{txt}Iteration 5:   log likelihood = {res}-624.93655

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-624.93655
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-624.45152
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-624.83663

{txt}Iteration 0:{col 16}log likelihood = {res}-624.45152{txt}  
Iteration 1:{col 16}log likelihood = {res}-624.03257{txt}  
Iteration 2:{col 16}log likelihood = {res}-623.03855{txt}  
Iteration 3:{col 16}log likelihood = {res}-623.03388{txt}  
Iteration 4:{col 16}log likelihood = {res}-623.03385{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    97.70
{txt}Log likelihood  = {res}-623.03385{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0134129   .0292053     0.46   0.646    -.0438284    .0706542
{txt}lag_ln_di~nc {c |}  {res}-.0872662   .0181005    -4.82   0.000    -.1227424   -.0517899
      {txt}intbnd {c |}  {res}-.2263254   .2143755    -1.06   0.291    -.6464938    .1938429
  {txt}pop_use_ln {c |}  {res}-.0118672    .065188    -0.18   0.856    -.1396333    .1158989
     {txt}ethdiff {c |}  {res} .0195287   .2092957     0.09   0.926    -.3906833    .4297407
     {txt}dia_sec {c |}  {res}  .795422   .2397085     3.32   0.001     .3256019    1.265242
   {txt}peton_use {c |}  {res} .7393535   .3126751     2.36   0.018     .1265215    1.352185
    {txt}peaceyrs {c |}  {res} .2329888   .1101936     2.11   0.034     .0170132    .4489643
    {txt}_spline1 {c |}  {res} .0053751    .002045     2.63   0.009      .001367    .0093833
    {txt}_spline2 {c |}  {res}-.0027792   .0015995    -1.74   0.082    -.0059141    .0003557
    {txt}_spline3 {c |}  {res} .0000205    .000773     0.03   0.979    -.0014946    .0015356
      {txt}rdrged {c |}  {res}  .115129   .1169508     0.98   0.325    -.1140904    .3443483
       {txt}_cons {c |}  {res}-2.800855   .9354947    -2.99   0.003    -4.634391   -.9673186
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9184755   .3716707{col 58}-1.646937   -.1900143
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res}  .631765   .1174043{col 58} .4389067    .9093664
         {txt}rho {c |}  {res}  .108194   .0358618{col 58} .0553162    .2008706
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.81{txt} Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. * Model D6
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrgas_c rdrgas2_c, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res} -666.4915
{txt}Iteration 2:   log likelihood = {res}-625.25401
{txt}Iteration 3:   log likelihood = {res}-622.58163
{txt}Iteration 4:   log likelihood = {res}-622.52655
{txt}Iteration 5:   log likelihood = {res}-622.52652

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-622.52652
{txt}tau = {res} 0.1     {txt}log likelihood = {res} -622.0434
{txt}tau = {res} 0.2     {txt}log likelihood = {res} -622.4149

{txt}Iteration 0:{col 16}log likelihood = {res} -622.0434{txt}  
Iteration 1:{col 16}log likelihood = {res}-621.80557{txt}  
Iteration 2:{col 16}log likelihood = {res}-620.64426{txt}  
Iteration 3:{col 16}log likelihood = {res}-620.63677{txt}  
Iteration 4:{col 16}log likelihood = {res}-620.63676{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}13{txt}){col 68}={col 70}{res}   102.09
{txt}Log likelihood  = {res}-620.63676{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0151282   .0290796     0.52   0.603    -.0418668    .0721233
{txt}lag_ln_di~nc {c |}  {res}  -.08283   .0183848    -4.51   0.000    -.1188635   -.0467965
      {txt}intbnd {c |}  {res}-.2382126   .2162161    -1.10   0.271    -.6619884    .1855632
  {txt}pop_use_ln {c |}  {res}-.0208657   .0650138    -0.32   0.748    -.1482905    .1065591
     {txt}ethdiff {c |}  {res}-.0019168   .2111689    -0.01   0.993    -.4158003    .4119668
     {txt}dia_sec {c |}  {res}  .861544   .2429492     3.55   0.000     .3853723    1.337716
   {txt}peton_use {c |}  {res} .7631961   .3125988     2.44   0.015     .1505138    1.375878
    {txt}peaceyrs {c |}  {res} .2248503   .1099358     2.05   0.041     .0093801    .4403206
    {txt}_spline1 {c |}  {res}  .005141   .0020433     2.52   0.012     .0011363    .0091457
    {txt}_spline2 {c |}  {res}-.0025949   .0015998    -1.62   0.105    -.0057305    .0005407
    {txt}_spline3 {c |}  {res}-.0000572   .0007742    -0.07   0.941    -.0015746    .0014603
    {txt}rdrgas_c {c |}  {res} .1385637    .231763     0.60   0.550    -.3156835    .5928109
   {txt}rdrgas2_c {c |}  {res}  .533968   .2729709     1.96   0.050     -.001045    1.068981
       {txt}_cons {c |}  {res}-2.830169   .9376628    -3.02   0.003    -4.667954   -.9923833
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9175861   .3716659{col 58}-1.646038   -.1891343
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res}  .632046    .117455{col 58}  .439104    .9097666
         {txt}rho {c |}  {res} .1082798   .0358863{col 58} .0553632    .2010119
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.78{txt} Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. * Model D7
. xtlogit onset_use lag_ln_dist2cinc lag_ln_dist2cic intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* rdrged_c rdrged2_c, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-665.44637
{txt}Iteration 2:   log likelihood = {res}-627.55063
{txt}Iteration 3:   log likelihood = {res}-624.93967
{txt}Iteration 4:   log likelihood = {res}-624.87977
{txt}Iteration 5:   log likelihood = {res}-624.87972

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-624.87972
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-624.40595
{txt}tau = {res} 0.2     {txt}log likelihood = {res} -624.7996

{txt}Iteration 0:{col 16}log likelihood = {res}-624.40595{txt}  
Iteration 1:{col 16}log likelihood = {res} -623.9167{txt}  
Iteration 2:{col 16}log likelihood = {res}-623.00839{txt}  
Iteration 3:{col 16}log likelihood = {res}-623.00687{txt}  
Iteration 4:{col 16}log likelihood = {res}-623.00686{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}13{txt}){col 68}={col 70}{res}    97.84
{txt}Log likelihood  = {res}-623.00686{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~nc {c |}  {res}-.0869617    .018155    -4.79   0.000    -.1225448   -.0513787
{txt}lag_ln_di~ic {c |}  {res} .0135778   .0291946     0.47   0.642    -.0436425    .0707981
      {txt}intbnd {c |}  {res}-.2294854   .2147744    -1.07   0.285    -.6504354    .1914646
  {txt}pop_use_ln {c |}  {res}-.0111254   .0652667    -0.17   0.865    -.1390459    .1167951
     {txt}ethdiff {c |}  {res} .0118802   .2118114     0.06   0.955    -.4032625    .4270229
     {txt}dia_sec {c |}  {res} .7943759   .2397024     3.31   0.001     .3245679    1.264184
   {txt}peton_use {c |}  {res} .7460887   .3140863     2.38   0.018     .1304909    1.361687
    {txt}peaceyrs {c |}  {res} .2330303   .1101885     2.11   0.034     .0170649    .4489958
    {txt}_spline1 {c |}  {res} .0053711   .0020446     2.63   0.009     .0013638    .0093785
    {txt}_spline2 {c |}  {res}-.0027735   .0015993    -1.73   0.083    -.0059081    .0003611
    {txt}_spline3 {c |}  {res} .0000167   .0007732     0.02   0.983    -.0014986    .0015321
    {txt}rdrged_c {c |}  {res} .1433734   .1693287     0.85   0.397    -.1885048    .4752515
   {txt}rdrged2_c {c |}  {res}-.0170166   .0741878    -0.23   0.819     -.162422    .1283887
       {txt}_cons {c |}  {res}-2.750735   .9344998    -2.94   0.003    -4.582321   -.9191491
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9210038   .3738459{col 58}-1.653728   -.1882794
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6309669   .1179422{col 58} .4374188    .9101556
         {txt}rho {c |}  {res} .1079503   .0360002{col 58} .0549624    .2011493
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.75{txt} Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. 
. 
. *** TABLE D3, random effects
. * Model D8
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* asset_gini, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-670.70206
{txt}Iteration 2:   log likelihood = {res}-615.10043
{txt}Iteration 3:   log likelihood = {res}-611.68684
{txt}Iteration 4:   log likelihood = {res}-611.61354
{txt}Iteration 5:   log likelihood = {res}-611.61348

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-611.61348
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-611.30153
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-611.75468

{txt}Iteration 0:{col 16}log likelihood = {res}-611.30153{txt}  
Iteration 1:{col 16}log likelihood = {res}-610.85806{txt}  
Iteration 2:{col 16}log likelihood = {res}-610.30187{txt}  
Iteration 3:{col 16}log likelihood = {res}-610.23228{txt}  
Iteration 4:{col 16}log likelihood = {res}-610.23128{txt}  
Iteration 5:{col 16}log likelihood = {res}-610.23128{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}   121.03
{txt}Log likelihood  = {res}-610.23128{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0165499   .0289397     0.57   0.567    -.0401709    .0732707
{txt}lag_ln_di~nc {c |}  {res}-.0647437    .018894    -3.43   0.001    -.1017752   -.0277122
      {txt}intbnd {c |}  {res}-.4360553   .2206727    -1.98   0.048    -.8685659   -.0035447
  {txt}pop_use_ln {c |}  {res}-.0822722   .0675199    -1.22   0.223    -.2146089    .0500644
     {txt}ethdiff {c |}  {res} .0353662   .2093899     0.17   0.866    -.3750305    .4457629
     {txt}dia_sec {c |}  {res} .6920149   .2420231     2.86   0.004     .2176583    1.166371
   {txt}peton_use {c |}  {res} .6047448   .3168174     1.91   0.056    -.0162059    1.225695
    {txt}peaceyrs {c |}  {res}  .250274   .1116794     2.24   0.025     .0313865    .4691615
    {txt}_spline1 {c |}  {res} .0051263   .0020663     2.48   0.013     .0010764    .0091762
    {txt}_spline2 {c |}  {res}-.0024796   .0016184    -1.53   0.125    -.0056516    .0006924
    {txt}_spline3 {c |}  {res}-.0001457   .0007839    -0.19   0.853    -.0016821    .0013907
  {txt}asset_gini {c |}  {res} 3.796402   .7531099     5.04   0.000     2.320334     5.27247
       {txt}_cons {c |}  {res}-4.191108    .996594    -4.21   0.000    -6.144396   -2.237819
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9677802   .4178948{col 58}-1.786839   -.1487214
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res}  .616381   .1287912{col 58} .4092539    .9283368
         {txt}rho {c |}  {res} .1035278   .0387847{col 58} .0484442     .207581
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    2.76{txt} Prob >= chibar2 = {res}0.048
{txt}
{com}. 
. * Model D9
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education_gini, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-666.77032
{txt}Iteration 2:   log likelihood = {res}-596.73376
{txt}Iteration 3:   log likelihood = {res}-591.67536
{txt}Iteration 4:   log likelihood = {res}-591.51643
{txt}Iteration 5:   log likelihood = {res}-591.51619

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-591.51619
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-592.10207

{txt}Iteration 0:{col 16}log likelihood = {res}-592.10207{txt}  
Iteration 1:{col 16}log likelihood = {res}-591.70294{txt}  
Iteration 2:{col 16}log likelihood = {res}-591.65224{txt}  
Iteration 3:{col 16}log likelihood = {res}-591.64469{txt}  
Iteration 4:{col 16}log likelihood = {res}-591.64462{txt}  
Iteration 5:{col 16}log likelihood = {res}-591.64462{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}   169.94
{txt}Log likelihood  = {res}-591.64462{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0237009   .0280632     0.84   0.398     -.031302    .0787038
{txt}lag_ln_di~nc {c |}  {res}-.0781797    .017107    -4.57   0.000    -.1117088   -.0446505
      {txt}intbnd {c |}  {res}-.4852581    .205223    -2.36   0.018    -.8874878   -.0830283
  {txt}pop_use_ln {c |}  {res} .0168182     .06654     0.25   0.800    -.1135978    .1472343
     {txt}ethdiff {c |}  {res} .0035577    .197001     0.02   0.986    -.3825571    .3896725
     {txt}dia_sec {c |}  {res} .6543601   .2181389     3.00   0.003     .2268158    1.081904
   {txt}peton_use {c |}  {res} .7775602   .2867291     2.71   0.007     .2155814    1.339539
    {txt}peaceyrs {c |}  {res} .3137141   .1080409     2.90   0.004     .1019578    .5254704
    {txt}_spline1 {c |}  {res} .0059244   .0020325     2.91   0.004     .0019408    .0099079
    {txt}_spline2 {c |}  {res}-.0025147   .0016093    -1.56   0.118    -.0056688    .0006395
    {txt}_spline3 {c |}  {res}-.0004813   .0007895    -0.61   0.542    -.0020288    .0010662
{txt}education_~i {c |}  {res} 3.630498   .5048121     7.19   0.000     2.641084    4.619911
       {txt}_cons {c |}  {res}-5.673925   1.060497    -5.35   0.000    -7.752461   -3.595389
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-3.108707   .8396441{col 58}-4.754379   -1.463034
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res}  .211326   .0887193{col 58} .0928111    .4811784
         {txt}rho {c |}  {res} .0133928   .0110946{col 58} .0026115    .0657502
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    0.26{txt} Prob >= chibar2 = {res}0.306
{txt}
{com}. 
. * Model D10
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* elf_reg, i(fid_1) re

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-682.05425
{txt}Iteration 1:   log likelihood = {res}-659.01543
{txt}Iteration 2:   log likelihood = {res}-625.65246
{txt}Iteration 3:   log likelihood = {res}-623.30853
{txt}Iteration 4:   log likelihood = {res}-623.25319
{txt}Iteration 5:   log likelihood = {res}-623.25315

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-623.25315
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-622.78052
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-623.18834

{txt}Iteration 0:{col 16}log likelihood = {res}-622.78052{txt}  
Iteration 1:{col 16}log likelihood = {res}-622.26467{txt}  
Iteration 2:{col 16}log likelihood = {res}-621.51481{txt}  
Iteration 3:{col 16}log likelihood = {res}-621.38926{txt}  
Iteration 4:{col 16}log likelihood = {res}-621.38722{txt}  
Iteration 5:{col 16}log likelihood = {res}-621.38722{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6113
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      349

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    95.57
{txt}Log likelihood  = {res}-621.38722{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0132095   .0292158     0.45   0.651    -.0440524    .0704713
{txt}lag_ln_di~nc {c |}  {res}-.0886811   .0180962    -4.90   0.000    -.1241489   -.0532132
      {txt}intbnd {c |}  {res}-.2813195   .2163781    -1.30   0.194    -.7054129    .1427739
  {txt}pop_use_ln {c |}  {res} -.022442   .0650206    -0.35   0.730      -.14988     .104996
     {txt}ethdiff {c |}  {res} .0059903   .2136198     0.03   0.978    -.4126969    .4246774
     {txt}dia_sec {c |}  {res} .7745299    .240192     3.22   0.001     .3037621    1.245298
   {txt}peton_use {c |}  {res} .7547751   .3130975     2.41   0.016     .1411152    1.368435
    {txt}peaceyrs {c |}  {res} .2285159   .1098974     2.08   0.038     .0131209    .4439108
    {txt}_spline1 {c |}  {res} .0053222   .0020431     2.60   0.009     .0013178    .0093266
    {txt}_spline2 {c |}  {res}-.0027789   .0015987    -1.74   0.082    -.0059122    .0003544
    {txt}_spline3 {c |}  {res} .0000429   .0007727     0.06   0.956    -.0014715    .0015572
     {txt}elf_reg {c |}  {res} .5661182   .4524521     1.25   0.211    -.3206716    1.452908
       {txt}_cons {c |}  {res}-2.776994     .93342    -2.98   0.003    -4.606463   -.9475239
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9210458   .3768529{col 58}-1.659664   -.1824277
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6309536   .1188883{col 58} .4361226    .9128225
         {txt}rho {c |}  {res} .1079462   .0362886{col 58} .0546549    .2020912
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.73{txt} Prob >= chibar2 = {res}0.027
{txt}
{com}. 
. * Model D11
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* education_gini asset_gini elf_reg, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-682.05425
{txt}Iteration 1:   log likelihood = {res}-681.85263
{txt}Iteration 2:   log likelihood = {res}-591.16532
{txt}Iteration 3:   log likelihood = {res}-585.91031
{txt}Iteration 4:   log likelihood = {res}-585.75342
{txt}Iteration 5:   log likelihood = {res}-585.75318

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-585.75318
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-586.32737

{txt}Iteration 0:{col 16}log likelihood = {res}-586.32737{txt}  
Iteration 1:{col 16}log likelihood = {res}-585.93683{txt}  
Iteration 2:{col 16}log likelihood = {res}-585.89017{txt}  
Iteration 3:{col 16}log likelihood = {res}-585.88308{txt}  
Iteration 4:{col 16}log likelihood = {res}-585.88304{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6113
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      349

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}14{txt}){col 68}={col 70}{res}   177.14
{txt}Log likelihood  = {res}-585.88304{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0247626   .0280596     0.88   0.378    -.0302332    .0797584
{txt}lag_ln_di~nc {c |}  {res}-.0667656   .0178356    -3.74   0.000    -.1017227   -.0318085
      {txt}intbnd {c |}  {res} -.644716    .210204    -3.07   0.002    -1.056708   -.2327237
  {txt}pop_use_ln {c |}  {res}-.0293557   .0667561    -0.44   0.660    -.1601952    .1014839
     {txt}ethdiff {c |}  {res}-.0834349   .2017598    -0.41   0.679    -.4788769    .3120071
     {txt}dia_sec {c |}  {res} .6192188   .2195247     2.82   0.005     .1889583    1.049479
   {txt}peton_use {c |}  {res} .7426843   .2940239     2.53   0.012     .1664081    1.318961
    {txt}peaceyrs {c |}  {res} .3133399   .1088922     2.88   0.004     .0999151    .5267647
    {txt}_spline1 {c |}  {res} .0055939   .0020469     2.73   0.006      .001582    .0096058
    {txt}_spline2 {c |}  {res}-.0022755   .0016193    -1.41   0.160    -.0054493    .0008984
    {txt}_spline3 {c |}  {res} -.000555   .0007941    -0.70   0.485    -.0021113    .0010014
{txt}education_~i {c |}  {res} 3.275705   .5275867     6.21   0.000     2.241654    4.309755
  {txt}asset_gini {c |}  {res} 1.968141   .7035956     2.80   0.005     .5891192    3.347163
     {txt}elf_reg {c |}  {res} .7017734   .4295761     1.63   0.102    -.1401802    1.543727
       {txt}_cons {c |}  {res}-6.255045     1.0749    -5.82   0.000    -8.361811    -4.14828
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-3.110722   .8401678{col 58} -4.75742   -1.464023
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .2111132   .0886852{col 58}   .09267    .4809405
         {txt}rho {c |}  {res} .0133662   .0110798{col 58} .0026036    .0656894
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    0.26{txt} Prob >= chibar2 = {res}0.305
{txt}
{com}. 
. 
. 
. *** TABLE D4, random effects
. * Model D12
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* dia_sec rdrgas_c rdrgas_dia, i(fid_1) re

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res} -671.4449
{txt}Iteration 2:   log likelihood = {res}-629.11894
{txt}Iteration 3:   log likelihood = {res}-626.65966
{txt}Iteration 4:   log likelihood = {res}-626.61121
{txt}Iteration 5:   log likelihood = {res}-626.61117

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-626.61117
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-626.09225
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-626.46043

{txt}Iteration 0:{col 16}log likelihood = {res}-626.09225{txt}  
Iteration 1:{col 16}log likelihood = {res}-625.60468{txt}  
Iteration 2:{col 16}log likelihood = {res}-624.90299{txt}  
Iteration 3:{col 16}log likelihood = {res}-624.60906{txt}  
Iteration 4:{col 16}log likelihood = {res} -624.6082{txt}  
Iteration 5:{col 16}log likelihood = {res} -624.6082{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    96.00
{txt}Log likelihood  = {res} -624.6082{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0156162   .0289993     0.54   0.590    -.0412215    .0724538
{txt}lag_ln_di~nc {c |}  {res}-.0810259      .0183    -4.43   0.000    -.1168932   -.0451585
      {txt}intbnd {c |}  {res}-.2702742    .215107    -1.26   0.209    -.6918762    .1513277
  {txt}pop_use_ln {c |}  {res} .0093005   .0640307     0.15   0.885    -.1161973    .1347983
     {txt}ethdiff {c |}  {res}-.0166335    .210999    -0.08   0.937    -.4301838    .3969169
    {txt}peaceyrs {c |}  {res} .2111506    .109305     1.93   0.053    -.0030834    .4253845
    {txt}_spline1 {c |}  {res} .0051366   .0020361     2.52   0.012     .0011459    .0091273
    {txt}_spline2 {c |}  {res}-.0026836   .0015933    -1.68   0.092    -.0058065    .0004392
    {txt}_spline3 {c |}  {res} .0000271   .0007696     0.04   0.972    -.0014813    .0015355
     {txt}dia_sec {c |}  {res} .7194969   .2422753     2.97   0.003      .244646    1.194348
    {txt}rdrgas_c {c |}  {res} .3099554   .2234953     1.39   0.165    -.1280874    .7479981
  {txt}rdrgas_dia {c |}  {res} .5963321   .6414184     0.93   0.353    -.6608248    1.853489
       {txt}_cons {c |}  {res} -2.92466   .9331439    -3.13   0.002    -4.753588   -1.095731
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9070752   .3644686{col 58} -1.62142   -.1927298
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6353765   .1157874{col 58} .4445422    .9081326
         {txt}rho {c |}  {res} .1092989    .035482{col 58} .0566648    .2004351
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    4.01{txt} Prob >= chibar2 = {res}0.023
{txt}
{com}. 
. * Model D13
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* peton_use  rdrgas_c rdrgas_pet, i(fid_1) re

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-681.41124
{txt}Iteration 2:   log likelihood = {res}-631.23169
{txt}Iteration 3:   log likelihood = {res}-628.76701
{txt}Iteration 4:   log likelihood = {res}-628.70872
{txt}Iteration 5:   log likelihood = {res}-628.70867

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-628.70867
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-627.93208
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-627.97995

{txt}Iteration 0:{col 16}log likelihood = {res}-627.93208{txt}  (not concave)
Iteration 1:{col 16}log likelihood = {res}-627.29086{txt}  
Iteration 2:{col 16}log likelihood = {res}-626.30079{txt}  
Iteration 3:{col 16}log likelihood = {res}-625.90268{txt}  
Iteration 4:{col 16}log likelihood = {res}-625.90166{txt}  
Iteration 5:{col 16}log likelihood = {res}-625.90166{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}    92.59
{txt}Log likelihood  = {res}-625.90166{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0160988   .0294476     0.55   0.585    -.0416174    .0738149
{txt}lag_ln_di~nc {c |}  {res}-.0913987   .0184057    -4.97   0.000    -.1274732   -.0553241
      {txt}intbnd {c |}  {res}-.2860254   .2180157    -1.31   0.190    -.7133283    .1412775
  {txt}pop_use_ln {c |}  {res}-.0114538   .0665445    -0.17   0.863    -.1418786     .118971
     {txt}ethdiff {c |}  {res} .0367876   .2119115     0.17   0.862    -.3785512    .4521264
    {txt}peaceyrs {c |}  {res} .2179953   .1097558     1.99   0.047      .002878    .4331127
    {txt}_spline1 {c |}  {res}  .005177     .00204     2.54   0.011     .0011786    .0091753
    {txt}_spline2 {c |}  {res}-.0027322   .0015942    -1.71   0.087    -.0058567    .0003923
    {txt}_spline3 {c |}  {res} .0000657   .0007685     0.09   0.932    -.0014405    .0015719
   {txt}peton_use {c |}  {res} .6116678   .3209421     1.91   0.057    -.0173671    1.240703
    {txt}rdrgas_c {c |}  {res}  .265237   .2223953     1.19   0.233    -.1706497    .7011237
  {txt}rdrgas_pet {c |}  {res} 1.323813   .7314059     1.81   0.070     -.109716    2.757343
       {txt}_cons {c |}  {res}-2.606905    .942863    -2.76   0.006    -4.454882   -.7589272
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.8365346   .3116868{col 58}-1.447429   -.2256398
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6581863    .102574{col 58} .4849475    .8933115
         {txt}rho {c |}  {res} .1163578   .0320472{col 58} .0667152    .1952129
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    5.61{txt} Prob >= chibar2 = {res}0.009
{txt}
{com}. 
. * Model D14
. xtlogit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* nr_c  rdrgas_c rdrgas_nr, i(fid_1) re 

{txt}Fitting comparison model:

Iteration 0:   log likelihood = {res}-684.30126
{txt}Iteration 1:   log likelihood = {res}-677.92146
{txt}Iteration 2:   log likelihood = {res}-625.69096
{txt}Iteration 3:   log likelihood = {res}-622.98955
{txt}Iteration 4:   log likelihood = {res}-622.93493
{txt}Iteration 5:   log likelihood = {res}-622.93489

{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-622.93489
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-622.44416
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-622.76969

{txt}Iteration 0:{col 16}log likelihood = {res}-622.44416{txt}  
Iteration 1:{col 16}log likelihood = {res}-622.00137{txt}  
Iteration 2:{col 16}log likelihood = {res}-621.35706{txt}  
Iteration 3:{col 16}log likelihood = {res} -620.9982{txt}  
Iteration 4:{col 16}log likelihood = {res}-620.99781{txt}  
Iteration 5:{col 16}log likelihood = {res}-620.99781{txt}  

Random-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6208
{txt}Group variable (i): {res}fid_1{col 49}{txt}Number of groups{col 68}={col 70}{res}      354

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     17.5
{txt}{col 64}max{col 68}={col 70}{res}       19

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}   102.73
{txt}Log likelihood  = {res}-620.99781{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 64}
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res}  .012822   .0292669     0.44   0.661      -.04454     .070184
{txt}lag_ln_di~nc {c |}  {res}-.0859967   .0182774    -4.71   0.000    -.1218197   -.0501736
      {txt}intbnd {c |}  {res}-.2511487   .2166359    -1.16   0.246    -.6757473    .1734499
  {txt}pop_use_ln {c |}  {res}-.0043197   .0647482    -0.07   0.947    -.1312238    .1225844
     {txt}ethdiff {c |}  {res}-.0203035   .2113247    -0.10   0.923    -.4344922    .3938852
    {txt}peaceyrs {c |}  {res} .2510416   .1112586     2.26   0.024     .0329787    .4691046
    {txt}_spline1 {c |}  {res} .0055324   .0020581     2.69   0.007     .0014986    .0095662
    {txt}_spline2 {c |}  {res}-.0028455   .0016067    -1.77   0.077    -.0059946    .0003036
    {txt}_spline3 {c |}  {res} .0000238   .0007747     0.03   0.975    -.0014946    .0015422
        {txt}nr_c {c |}  {res} .7526256   .2131402     3.53   0.000     .3348785    1.170373
    {txt}rdrgas_c {c |}  {res} .3210299   .2264473     1.42   0.156    -.1227988    .7648585
   {txt}rdrgas_nr {c |}  {res} 1.015273   .5243337     1.94   0.053    -.0124021    2.042948
       {txt}_cons {c |}  {res}-2.748152   .9331747    -2.94   0.003    -4.577141   -.9191629
{txt}{hline 13}{c +}{hline 64}
    /lnsig2u {c |}  {res}-.9054451   .3635557{col 58}-1.618001   -.1928891
{txt}{hline 13}{c +}{hline 64}
     sigma_u {c |}  {res} .6358945   .1155915{col 58} .4453029    .9080603
         {txt}rho {c |}  {res} .1094577   .0354382{col 58} .0568479    .2004096
{txt}{hline 13}{c BT}{hline 64}
Likelihood-ratio test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}    3.87{txt} Prob >= chibar2 = {res}0.025
{txt}
{com}. 
. 
. 
. 
. 
. ****** Appendix E: Adding Country-Level Controls
. 
. *** TABLE E1, Adding country level controls
. * Model E1
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno , robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-646.10955
{txt}Iteration 2:   log pseudolikelihood = {res}-572.79823
{txt}Iteration 3:   log pseudolikelihood = {res}-568.45574
{txt}Iteration 4:   log pseudolikelihood = {res}-568.36516
{txt}Iteration 5:   log pseudolikelihood = {res}-568.36507

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}16{txt})   = {res}    522.34
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-568.36507                 {txt}Pseudo R2       = {res}    0.1448

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0506455   .0286068     1.77   0.077    -.0054228    .1067137
{txt}lag_ln_di~nc {c |}  {res}-.0777291   .0292475    -2.66   0.008    -.1350531   -.0204052
      {txt}intbnd {c |}  {res}-.3874105   .2675409    -1.45   0.148    -.9117809    .1369599
  {txt}pop_use_ln {c |}  {res} .0620554    .183546     0.34   0.735    -.2976883     .421799
     {txt}ethdiff {c |}  {res} .3062007   .3635651     0.84   0.400    -.4063737    1.018775
     {txt}dia_sec {c |}  {res} .7559459   .2749471     2.75   0.006     .2170595    1.294832
   {txt}peton_use {c |}  {res} .6861938   .4916604     1.40   0.163     -.277443    1.649831
    {txt}peaceyrs {c |}  {res} .2271554    .225537     1.01   0.314    -.2148891    .6691999
    {txt}_spline1 {c |}  {res} .0052456   .0045728     1.15   0.251     -.003717    .0142082
    {txt}_spline2 {c |}  {res}-.0019907   .0036446    -0.55   0.585     -.009134    .0051526
    {txt}_spline3 {c |}  {res}-.0009082   .0018066    -0.50   0.615    -.0044491    .0026327
{txt}ln_lag_gdppc {c |}  {res}-.4312613   .3354144    -1.29   0.199    -1.088661    .2261389
  {txt}lag_growth {c |}  {res}-.0948753   .0283209    -3.35   0.001    -.1503832   -.0393674
 {txt}lag_polity2 {c |}  {res}-.0498753   .0703168    -0.71   0.478    -.1876937     .087943
{txt}lag_polity~q {c |}  {res}-.0101773   .0108417    -0.94   0.348    -.0314267    .0110721
 {txt}ln_pop_ssno {c |}  {res}-.3735534   .3796105    -0.98   0.325    -1.117576    .3704694
       {txt}_cons {c |}  {res} 2.987241   3.046168     0.98   0.327    -2.983138     8.95762
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E2
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use  ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno asset, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-646.35317
{txt}Iteration 2:   log pseudolikelihood = {res}-571.97914
{txt}Iteration 3:   log pseudolikelihood = {res}-567.51696
{txt}Iteration 4:   log pseudolikelihood = {res} -567.4202
{txt}Iteration 5:   log pseudolikelihood = {res}-567.42009

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}   1781.27
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-567.42009                 {txt}Pseudo R2       = {res}    0.1462

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0469891   .0296972     1.58   0.114    -.0112163    .1051944
{txt}lag_ln_di~nc {c |}  {res}-.0731212   .0332786    -2.20   0.028     -.138346   -.0078964
      {txt}intbnd {c |}  {res}-.4662716   .2771981    -1.68   0.093     -1.00957    .0770268
  {txt}pop_use_ln {c |}  {res} .0649302   .1986697     0.33   0.744    -.3244553    .4543156
     {txt}ethdiff {c |}  {res} .3309633   .3900086     0.85   0.396    -.4334395    1.095366
     {txt}dia_sec {c |}  {res} .7319259   .2812995     2.60   0.009      .180589    1.283263
   {txt}peton_use {c |}  {res} .6792743   .4346183     1.56   0.118    -.1725618     1.53111
    {txt}peaceyrs {c |}  {res} .2500053   .2386601     1.05   0.295    -.2177599    .7177705
    {txt}_spline1 {c |}  {res} .0054628   .0047353     1.15   0.249    -.0038182    .0147438
    {txt}_spline2 {c |}  {res}-.0020596   .0037131    -0.55   0.579    -.0093372     .005218
    {txt}_spline3 {c |}  {res}-.0009283   .0017883    -0.52   0.604    -.0044334    .0025768
{txt}ln_lag_gdppc {c |}  {res}-.4296786   .3467014    -1.24   0.215    -1.109201    .2498436
  {txt}lag_growth {c |}  {res} -.095655   .0277528    -3.45   0.001    -.1500495   -.0412604
 {txt}lag_polity2 {c |}  {res}-.0471655   .0658992    -0.72   0.474    -.1763254    .0819945
{txt}lag_polity~q {c |}  {res}-.0093122   .0110125    -0.85   0.398    -.0308963     .012272
 {txt}ln_pop_ssno {c |}  {res}-.4005178   .4244951    -0.94   0.345    -1.232513    .4314773
       {txt}asset {c |}  {res}-1.202707   2.503077    -0.48   0.631    -6.108648    3.703234
       {txt}_cons {c |}  {res}   3.3819   3.742339     0.90   0.366     -3.95295    10.71675
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E3
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno education, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-570.39459
{txt}Iteration 2:   log pseudolikelihood = {res}-538.93535
{txt}Iteration 3:   log pseudolikelihood = {res}-533.46448
{txt}Iteration 4:   log pseudolikelihood = {res} -533.1559
{txt}Iteration 5:   log pseudolikelihood = {res}-533.15453
{txt}Iteration 6:   log pseudolikelihood = {res}-533.15453

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    559.59
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-533.15453                 {txt}Pseudo R2       = {res}    0.1978

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0540975   .0231748     2.33   0.020     .0086757    .0995194
{txt}lag_ln_di~nc {c |}  {res}-.0813645   .0283449    -2.87   0.004    -.1369194   -.0258096
      {txt}intbnd {c |}  {res} -.746329   .2984304    -2.50   0.012    -1.331242   -.1614162
  {txt}pop_use_ln {c |}  {res} .3100334   .2475837     1.25   0.210    -.1752217    .7952885
     {txt}ethdiff {c |}  {res} .4577568   .4229789     1.08   0.279    -.3712666     1.28678
     {txt}dia_sec {c |}  {res} .7433435   .2362942     3.15   0.002     .2802153    1.206472
   {txt}peton_use {c |}  {res} .8715582   .2563245     3.40   0.001     .3691714    1.373945
    {txt}peaceyrs {c |}  {res} .4596732   .2280702     2.02   0.044     .0126638    .9066826
    {txt}_spline1 {c |}  {res} .0078035   .0052555     1.48   0.138     -.002497     .018104
    {txt}_spline2 {c |}  {res}-.0027512   .0041711    -0.66   0.510    -.0109265    .0054241
    {txt}_spline3 {c |}  {res}-.0012726   .0019656    -0.65   0.517    -.0051252      .00258
{txt}ln_lag_gdppc {c |}  {res}-.0704013   .3545224    -0.20   0.843    -.7652524    .6244498
  {txt}lag_growth {c |}  {res}-.0976784   .0261532    -3.73   0.000    -.1489377    -.046419
 {txt}lag_polity2 {c |}  {res}-.0228987    .065226    -0.35   0.726    -.1507394    .1049419
{txt}lag_polity~q {c |}  {res} -.000848   .0093933    -0.09   0.928    -.0192585    .0175625
 {txt}ln_pop_ssno {c |}  {res}-.5736177   .4095454    -1.40   0.161    -1.376312    .2290765
   {txt}education {c |}  {res}-.4498918   .0886899    -5.07   0.000    -.6237209   -.2760627
       {txt}_cons {c |}  {res}-.4391576   3.037805    -0.14   0.885    -6.393146    5.514831
{txt}{hline 13}{c BT}{hline 64}
Note: 2 failures and 0 successes completely determined.

{com}. 
. 
. 
. *** TABLE E2, Adding country level controls
. * Model E4
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno rdrgas, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-648.78411
{txt}Iteration 2:   log pseudolikelihood = {res}-572.12179
{txt}Iteration 3:   log pseudolikelihood = {res}-567.72043
{txt}Iteration 4:   log pseudolikelihood = {res}-567.62757
{txt}Iteration 5:   log pseudolikelihood = {res}-567.62747

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    607.70
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-567.62747                 {txt}Pseudo R2       = {res}    0.1459

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0509594   .0275683     1.85   0.065    -.0030735    .1049923
{txt}lag_ln_di~nc {c |}  {res}-.0745983   .0292419    -2.55   0.011    -.1319114   -.0172853
      {txt}intbnd {c |}  {res}-.4266035   .2657822    -1.61   0.108     -.947527      .09432
  {txt}pop_use_ln {c |}  {res} .0864839   .2008884     0.43   0.667    -.3072502     .480218
     {txt}ethdiff {c |}  {res} .2851259   .3718308     0.77   0.443    -.4436491    1.013901
     {txt}dia_sec {c |}  {res} .7695805   .2722904     2.83   0.005     .2359012     1.30326
   {txt}peton_use {c |}  {res} .7212143   .4668745     1.54   0.122    -.1938428    1.636271
    {txt}peaceyrs {c |}  {res} .2345776   .2283226     1.03   0.304    -.2129265    .6820817
    {txt}_spline1 {c |}  {res} .0053063   .0046561     1.14   0.254    -.0038196    .0144321
    {txt}_spline2 {c |}  {res} -.002011   .0037092    -0.54   0.588     -.009281    .0052589
    {txt}_spline3 {c |}  {res}-.0009133   .0018267    -0.50   0.617    -.0044935    .0026669
{txt}ln_lag_gdppc {c |}  {res}-.4213862   .3313884    -1.27   0.204    -1.070896    .2281231
  {txt}lag_growth {c |}  {res}-.0943589   .0283847    -3.32   0.001    -.1499919    -.038726
 {txt}lag_polity2 {c |}  {res}-.0478939   .0678547    -0.71   0.480    -.1808866    .0850989
{txt}lag_polity~q {c |}  {res}-.0092391   .0106081    -0.87   0.384    -.0300305    .0115523
 {txt}ln_pop_ssno {c |}  {res}-.4149445   .4064614    -1.02   0.307    -1.211594    .3817052
      {txt}rdrgas {c |}  {res} .2707973   .2867587     0.94   0.345    -.2912395     .832834
       {txt}_cons {c |}  {res} 2.854062   2.970279     0.96   0.337    -2.967578    8.675703
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E5
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno rdrged, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-647.42807
{txt}Iteration 2:   log pseudolikelihood = {res}-572.67152
{txt}Iteration 3:   log pseudolikelihood = {res}  -568.286
{txt}Iteration 4:   log pseudolikelihood = {res}-568.19324
{txt}Iteration 5:   log pseudolikelihood = {res}-568.19313

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    742.55
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-568.19313                 {txt}Pseudo R2       = {res}    0.1450

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0506978   .0281999     1.80   0.072    -.0045729    .1059685
{txt}lag_ln_di~nc {c |}  {res}-.0775846   .0291215    -2.66   0.008    -.1346617   -.0205076
      {txt}intbnd {c |}  {res}-.3974005   .2636303    -1.51   0.132    -.9141065    .1193054
  {txt}pop_use_ln {c |}  {res} .0745549   .1836362     0.41   0.685    -.2853653    .4344752
     {txt}ethdiff {c |}  {res} .2959712   .3668113     0.81   0.420    -.4229657    1.014908
     {txt}dia_sec {c |}  {res} .7622835   .2790996     2.73   0.006     .2152584    1.309309
   {txt}peton_use {c |}  {res} .7015193   .4866755     1.44   0.149    -.2523472    1.655386
    {txt}peaceyrs {c |}  {res} .2306301   .2269553     1.02   0.310    -.2141941    .6754543
    {txt}_spline1 {c |}  {res} .0052775   .0046105     1.14   0.252    -.0037588    .0143139
    {txt}_spline2 {c |}  {res} -.002006    .003666    -0.55   0.584    -.0091913    .0051793
    {txt}_spline3 {c |}  {res}-.0009045   .0018104    -0.50   0.617    -.0044528    .0026438
{txt}ln_lag_gdppc {c |}  {res}-.4275148   .3378259    -1.27   0.206    -1.089641    .2346118
  {txt}lag_growth {c |}  {res}-.0949674   .0282538    -3.36   0.001    -.1503438   -.0395909
 {txt}lag_polity2 {c |}  {res}-.0477992   .0678636    -0.70   0.481    -.1808093    .0852109
{txt}lag_polity~q {c |}  {res} -.009882   .0106851    -0.92   0.355    -.0308243    .0110603
 {txt}ln_pop_ssno {c |}  {res}-.3885964   .3862592    -1.01   0.314    -1.145651    .3684577
      {txt}rdrged {c |}  {res} .0671971   .1163188     0.58   0.563    -.1607836    .2951778
       {txt}_cons {c |}  {res} 2.902279   3.021035     0.96   0.337     -3.01884    8.823399
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E6
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno rdrgas_c rdrgas2_c, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-649.35931
{txt}Iteration 2:   log pseudolikelihood = {res}-570.30492
{txt}Iteration 3:   log pseudolikelihood = {res}-565.84501
{txt}Iteration 4:   log pseudolikelihood = {res}-565.75144
{txt}Iteration 5:   log pseudolikelihood = {res}-565.75134

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}18{txt})   = {res}   2302.51
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-565.75134                 {txt}Pseudo R2       = {res}    0.1487

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0517734   .0277176     1.87   0.062    -.0025521    .1060989
{txt}lag_ln_di~nc {c |}  {res}-.0740875   .0290999    -2.55   0.011    -.1311223   -.0170526
      {txt}intbnd {c |}  {res}-.4400571   .2708254    -1.62   0.104    -.9708651     .090751
  {txt}pop_use_ln {c |}  {res} .1269896   .2093469     0.61   0.544    -.2833227    .5373019
     {txt}ethdiff {c |}  {res}  .309841   .3900056     0.79   0.427    -.4545559    1.074238
     {txt}dia_sec {c |}  {res}  .811475   .2642357     3.07   0.002     .2935826    1.329367
   {txt}peton_use {c |}  {res} .7498899   .4753713     1.58   0.115    -.1818208    1.681601
    {txt}peaceyrs {c |}  {res} .2313892   .2330913     0.99   0.321    -.2254614    .6882398
    {txt}_spline1 {c |}  {res} .0052273   .0047141     1.11   0.267    -.0040121    .0144667
    {txt}_spline2 {c |}  {res}-.0019625   .0037534    -0.52   0.601     -.009319    .0053939
    {txt}_spline3 {c |}  {res}-.0009303   .0018462    -0.50   0.614    -.0045488    .0026882
{txt}ln_lag_gdppc {c |}  {res}-.4147977   .3281918    -1.26   0.206    -1.058042    .2284464
  {txt}lag_growth {c |}  {res}-.0927714   .0282544    -3.28   0.001    -.1481491   -.0373937
 {txt}lag_polity2 {c |}  {res}-.0516992   .0683498    -0.76   0.449    -.1856624     .082264
{txt}lag_polity~q {c |}  {res} -.009564   .0105886    -0.90   0.366    -.0303172    .0111892
 {txt}ln_pop_ssno {c |}  {res}-.4957479   .4268391    -1.16   0.245    -1.332337    .3408414
    {txt}rdrgas_c {c |}  {res} .1041751   .2481324     0.42   0.675    -.3821554    .5905056
   {txt}rdrgas2_c {c |}  {res} .5459186   .2047847     2.67   0.008      .144548    .9472893
       {txt}_cons {c |}  {res} 2.903584   2.927509     0.99   0.321    -2.834229    8.641397
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E7
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc  intbnd pop_use_ln ethdiff dia_sec peton_use  ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno rdrged_c rdrged2_c, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res} -648.4009
{txt}Iteration 2:   log pseudolikelihood = {res} -572.6158
{txt}Iteration 3:   log pseudolikelihood = {res}-568.22621
{txt}Iteration 4:   log pseudolikelihood = {res}-568.13345
{txt}Iteration 5:   log pseudolikelihood = {res}-568.13335

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}18{txt})   = {res}   1028.71
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-568.13335                 {txt}Pseudo R2       = {res}    0.1451

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0508923   .0281244     1.81   0.070    -.0042305    .1060151
{txt}lag_ln_di~nc {c |}  {res}-.0771673   .0291864    -2.64   0.008    -.1343715   -.0199631
      {txt}intbnd {c |}  {res}-.4024381    .261514    -1.54   0.124     -.914996    .1101199
  {txt}pop_use_ln {c |}  {res} .0773005   .1818552     0.43   0.671    -.2791291    .4337302
     {txt}ethdiff {c |}  {res} .2857362   .3760864     0.76   0.447    -.4513796    1.022852
     {txt}dia_sec {c |}  {res} .7613065   .2773256     2.75   0.006     .2177582    1.304855
   {txt}peton_use {c |}  {res} .7113936   .4801225     1.48   0.138    -.2296292    1.652416
    {txt}peaceyrs {c |}  {res} .2322682   .2259611     1.03   0.304    -.2106075    .6751439
    {txt}_spline1 {c |}  {res} .0053025   .0046066     1.15   0.250    -.0037262    .0143312
    {txt}_spline2 {c |}  {res}-.0020172   .0036667    -0.55   0.582    -.0092038    .0051694
    {txt}_spline3 {c |}  {res}-.0009053   .0018149    -0.50   0.618    -.0044624    .0026518
{txt}ln_lag_gdppc {c |}  {res}-.4259493   .3378713    -1.26   0.207    -1.088165    .2362663
  {txt}lag_growth {c |}  {res}-.0949644   .0282266    -3.36   0.001    -.1502876   -.0396413
 {txt}lag_polity2 {c |}  {res}-.0479489   .0677046    -0.71   0.479    -.1806475    .0847497
{txt}lag_polity~q {c |}  {res}-.0097579   .0106925    -0.91   0.361    -.0307149    .0111991
 {txt}ln_pop_ssno {c |}  {res}-.3911824   .3844402    -1.02   0.309    -1.144671    .3623065
    {txt}rdrged_c {c |}  {res} .1087177   .1699253     0.64   0.522    -.2243299    .4417652
   {txt}rdrged2_c {c |}  {res}-.0238476   .0415228    -0.57   0.566    -.1052308    .0575357
       {txt}_cons {c |}  {res} 2.918326   3.021262     0.97   0.334    -3.003239    8.839891
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. 
. 
. *** TABLE E3, Adding country level controls
. * Model E8
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno asset_gini, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-658.23508
{txt}Iteration 2:   log pseudolikelihood = {res}-562.16175
{txt}Iteration 3:   log pseudolikelihood = {res}-557.03785
{txt}Iteration 4:   log pseudolikelihood = {res}-556.90878
{txt}Iteration 5:   log pseudolikelihood = {res}-556.90859

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}   1283.49
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-556.90859                 {txt}Pseudo R2       = {res}    0.1620

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0460913   .0270343     1.70   0.088     -.006895    .0990776
{txt}lag_ln_di~nc {c |}  {res}-.0575002    .031113    -1.85   0.065    -.1184806    .0034802
      {txt}intbnd {c |}  {res}-.6136455   .2869978    -2.14   0.033    -1.176151   -.0511402
  {txt}pop_use_ln {c |}  {res} .1014074   .2211841     0.46   0.647    -.3321055    .5349202
     {txt}ethdiff {c |}  {res} .3810718   .4188003     0.91   0.363    -.4397616    1.201905
     {txt}dia_sec {c |}  {res} .6386714   .2732043     2.34   0.019     .1032008    1.174142
   {txt}peton_use {c |}  {res} .6252753   .3397004     1.84   0.066    -.0405252    1.291076
    {txt}peaceyrs {c |}  {res} .2910146   .2502205     1.16   0.245    -.1994086    .7814378
    {txt}_spline1 {c |}  {res} .0060041   .0052471     1.14   0.253    -.0042801    .0162883
    {txt}_spline2 {c |}  {res}-.0023809   .0042061    -0.57   0.571    -.0106246    .0058628
    {txt}_spline3 {c |}  {res}-.0008653   .0020217    -0.43   0.669    -.0048278    .0030971
{txt}ln_lag_gdppc {c |}  {res}-.3410974   .3292357    -1.04   0.300    -.9863875    .3041928
  {txt}lag_growth {c |}  {res}-.0901739   .0286403    -3.15   0.002    -.1463079   -.0340399
 {txt}lag_polity2 {c |}  {res}-.0615522   .0679105    -0.91   0.365    -.1946543    .0715498
{txt}lag_polity~q {c |}  {res}-.0072657   .0105529    -0.69   0.491     -.027949    .0134175
 {txt}ln_pop_ssno {c |}  {res}-.5020915   .4338659    -1.16   0.247    -1.352453    .3482699
  {txt}asset_gini {c |}  {res}  3.37536   1.262743     2.67   0.008     .9004291     5.85029
       {txt}_cons {c |}  {res} .7767311   2.961406     0.26   0.793    -5.027518    6.580981
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E9
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno education_gini, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-570.38071
{txt}Iteration 2:   log pseudolikelihood = {res}-539.65565
{txt}Iteration 3:   log pseudolikelihood = {res}-534.57661
{txt}Iteration 4:   log pseudolikelihood = {res}-534.32419
{txt}Iteration 5:   log pseudolikelihood = {res}-534.32336

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    361.15
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-534.32336                 {txt}Pseudo R2       = {res}    0.1960

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0579739   .0241583     2.40   0.016     .0106245    .1053234
{txt}lag_ln_di~nc {c |}  {res}-.0768571   .0279797    -2.75   0.006    -.1316964   -.0220179
      {txt}intbnd {c |}  {res}-.6842206   .2807117    -2.44   0.015    -1.234405   -.1340357
  {txt}pop_use_ln {c |}  {res} .2645203   .2579995     1.03   0.305    -.2411495    .7701901
     {txt}ethdiff {c |}  {res}  .346975   .4112865     0.84   0.399    -.4591318    1.153082
     {txt}dia_sec {c |}  {res} .7422988    .259126     2.86   0.004     .2344212    1.250176
   {txt}peton_use {c |}  {res} .8801682   .2986955     2.95   0.003     .2947358    1.465601
    {txt}peaceyrs {c |}  {res} .4361037   .2365715     1.84   0.065    -.0275679    .8997752
    {txt}_spline1 {c |}  {res} .0075651   .0053751     1.41   0.159      -.00297    .0181002
    {txt}_spline2 {c |}  {res}-.0026846   .0042484    -0.63   0.527    -.0110114    .0056422
    {txt}_spline3 {c |}  {res} -.001245   .0019892    -0.63   0.531    -.0051439    .0026538
{txt}ln_lag_gdppc {c |}  {res}-.2057147   .3325661    -0.62   0.536    -.8575323    .4461029
  {txt}lag_growth {c |}  {res}-.0994047   .0273874    -3.63   0.000    -.1530831   -.0457263
 {txt}lag_polity2 {c |}  {res}-.0222919   .0661822    -0.34   0.736    -.1520067    .1074229
{txt}lag_polity~q {c |}  {res}-.0008656   .0089287    -0.10   0.923    -.0183654    .0166343
 {txt}ln_pop_ssno {c |}  {res}-.5573231   .4246831    -1.31   0.189    -1.389687    .2750404
{txt}education_~i {c |}  {res} 4.125124   .8116082     5.08   0.000     2.534401    5.715847
       {txt}_cons {c |}  {res}-3.114137   2.703172    -1.15   0.249    -8.412257    2.183982
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E10
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno elf_reg, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-662.81042
{txt}Iteration 1:   log pseudolikelihood = {res}-642.51893
{txt}Iteration 2:   log pseudolikelihood = {res}-571.53791
{txt}Iteration 3:   log pseudolikelihood = {res} -567.3755
{txt}Iteration 4:   log pseudolikelihood = {res}-567.29191
{txt}Iteration 5:   log pseudolikelihood = {res}-567.29183

{txt}Logistic regression                               Number of obs   = {res}      5632
                                                  {txt}Wald chi2({res}17{txt})   = {res}    658.02
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-567.29183                 {txt}Pseudo R2       = {res}    0.1441

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0507566   .0283889     1.79   0.074    -.0048846    .1063978
{txt}lag_ln_di~nc {c |}  {res}-.0779927   .0295805    -2.64   0.008    -.1359695    -.020016
      {txt}intbnd {c |}  {res}-.4130561   .2669989    -1.55   0.122    -.9363642    .1102521
  {txt}pop_use_ln {c |}  {res} .0376412   .1903333     0.20   0.843    -.3354051    .4106876
     {txt}ethdiff {c |}  {res}  .295641   .3567919     0.83   0.407    -.4036583    .9949403
     {txt}dia_sec {c |}  {res} .7496214   .2794193     2.68   0.007     .2019697    1.297273
   {txt}peton_use {c |}  {res} .6773204    .537426     1.26   0.208    -.3760153    1.730656
    {txt}peaceyrs {c |}  {res} .2266582   .2256778     1.00   0.315    -.2156622    .6689786
    {txt}_spline1 {c |}  {res} .0052272    .004577     1.14   0.253    -.0037435    .0141979
    {txt}_spline2 {c |}  {res} -.001986   .0036583    -0.54   0.587    -.0091561    .0051841
    {txt}_spline3 {c |}  {res}-.0009015   .0018184    -0.50   0.620    -.0044655    .0026624
{txt}ln_lag_gdppc {c |}  {res}-.4464292   .3335389    -1.34   0.181    -1.100153    .2072949
  {txt}lag_growth {c |}  {res}  -.09428   .0282431    -3.34   0.001    -.1496355   -.0389244
 {txt}lag_polity2 {c |}  {res}-.0482029   .0694356    -0.69   0.488    -.1842942    .0878884
{txt}lag_polity~q {c |}  {res}-.0101721   .0108334    -0.94   0.348    -.0314052    .0110611
 {txt}ln_pop_ssno {c |}  {res}-.3396256   .3803811    -0.89   0.372    -1.085159    .4059077
     {txt}elf_reg {c |}  {res} .1092354   .4281779     0.26   0.799    -.7299778    .9484486
       {txt}_cons {c |}  {res} 3.086208    2.95739     1.04   0.297    -2.710169    8.882585
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E11
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff dia_sec peton_use ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno education_gini asset_gini elf_reg , robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-662.81042
{txt}Iteration 1:   log pseudolikelihood = {res}-566.72246
{txt}Iteration 2:   log pseudolikelihood = {res}-535.97129
{txt}Iteration 3:   log pseudolikelihood = {res}-530.82543
{txt}Iteration 4:   log pseudolikelihood = {res}-530.56471
{txt}Iteration 5:   log pseudolikelihood = {res}-530.56383
{txt}Iteration 6:   log pseudolikelihood = {res}-530.56383

{txt}Logistic regression                               Number of obs   = {res}      5632
                                                  {txt}Wald chi2({res}19{txt})   = {res}   1781.58
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-530.56383                 {txt}Pseudo R2       = {res}    0.1995

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0541948   .0236014     2.30   0.022     .0079369    .1004527
{txt}lag_ln_di~nc {c |}  {res}-.0668201   .0302895    -2.21   0.027    -.1261864   -.0074538
      {txt}intbnd {c |}  {res} -.819542   .2786979    -2.94   0.003     -1.36578    -.273304
  {txt}pop_use_ln {c |}  {res} .2476786   .2533417     0.98   0.328    -.2488621    .7442192
     {txt}ethdiff {c |}  {res} .2839185   .4399566     0.65   0.519    -.5783807    1.146218
     {txt}dia_sec {c |}  {res} .6898343   .2386805     2.89   0.004     .2220291     1.15764
   {txt}peton_use {c |}  {res}   .80987   .2892238     2.80   0.005     .2430016    1.376738
    {txt}peaceyrs {c |}  {res} .4550468    .240517     1.89   0.058    -.0163579    .9264515
    {txt}_spline1 {c |}  {res} .0077873   .0055473     1.40   0.160    -.0030851    .0186598
    {txt}_spline2 {c |}  {res}-.0028284   .0044483    -0.64   0.525    -.0115469    .0058902
    {txt}_spline3 {c |}  {res}-.0012092      .0021    -0.58   0.565     -.005325    .0029067
{txt}ln_lag_gdppc {c |}  {res}-.1610844   .3405011    -0.47   0.636    -.8284543    .5062855
  {txt}lag_growth {c |}  {res}-.0954528   .0290689    -3.28   0.001    -.1524268   -.0384789
 {txt}lag_polity2 {c |}  {res}-.0328446   .0675557    -0.49   0.627    -.1652514    .0995622
{txt}lag_polity~q {c |}  {res} .0002522   .0094203     0.03   0.979    -.0182112    .0187156
 {txt}ln_pop_ssno {c |}  {res}-.5771953    .437284    -1.32   0.187    -1.434256    .2798656
{txt}education_~i {c |}  {res}  3.82575    .823867     4.64   0.000        2.211    5.440499
  {txt}asset_gini {c |}  {res} 1.845354   1.319405     1.40   0.162    -.7406326    4.431341
     {txt}elf_reg {c |}  {res} .3679444   .5144801     0.72   0.474    -.6404181    1.376307
       {txt}_cons {c |}  {res}-4.052997   3.004742    -1.35   0.177    -9.942184    1.836189
{txt}{hline 13}{c BT}{hline 64}
Note: 3 failures and 0 successes completely determined.

{com}. 
. 
. 
. 
. *** TABLE E4, Adding country level controls
. * Model E12
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno dia_sec rdrgas_c rdrgas_dia, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-652.20669
{txt}Iteration 2:   log pseudolikelihood = {res}  -573.525
{txt}Iteration 3:   log pseudolikelihood = {res}-569.29143
{txt}Iteration 4:   log pseudolikelihood = {res}-569.20523
{txt}Iteration 5:   log pseudolikelihood = {res}-569.20514

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    687.83
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-569.20514                 {txt}Pseudo R2       = {res}    0.1435

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0559495   .0319352     1.75   0.080    -.0066424    .1185414
{txt}lag_ln_di~nc {c |}  {res}-.0731763   .0280396    -2.61   0.009     -.128133   -.0182196
      {txt}intbnd {c |}  {res}-.4307408   .2642522    -1.63   0.103    -.9486655     .087184
  {txt}pop_use_ln {c |}  {res} .0724411   .1938467     0.37   0.709    -.3074915    .4523737
     {txt}ethdiff {c |}  {res} .2601501   .3603865     0.72   0.470    -.4461945    .9664946
    {txt}peaceyrs {c |}  {res} .2203962    .225371     0.98   0.328    -.2213229    .6621153
    {txt}_spline1 {c |}  {res} .0051994   .0045129     1.15   0.249    -.0036457    .0140445
    {txt}_spline2 {c |}  {res}-.0019669   .0036085    -0.55   0.586    -.0090394    .0051057
    {txt}_spline3 {c |}  {res}-.0009202   .0017793    -0.52   0.605    -.0044076    .0025672
{txt}ln_lag_gdppc {c |}  {res}-.4842843   .3391691    -1.43   0.153    -1.149043    .1804749
  {txt}lag_growth {c |}  {res}-.0967722   .0287261    -3.37   0.001    -.1530744   -.0404701
 {txt}lag_polity2 {c |}  {res}-.0430108   .0674617    -0.64   0.524    -.1752334    .0892118
{txt}lag_polity~q {c |}  {res}-.0077255   .0106163    -0.73   0.467     -.028533    .0130821
 {txt}ln_pop_ssno {c |}  {res}-.3572987   .3862668    -0.93   0.355    -1.114368    .3997702
     {txt}dia_sec {c |}  {res} .6817262   .3003666     2.27   0.023     .0930184    1.270434
    {txt}rdrgas_c {c |}  {res} .2343024   .2853576     0.82   0.412    -.3249883     .793593
  {txt}rdrgas_dia {c |}  {res} .9709717   .6662925     1.46   0.145    -.3349376    2.276881
       {txt}_cons {c |}  {res} 3.078045   2.997806     1.03   0.305    -2.797547    8.953637
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E13
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno peton_use  rdrgas_c rdrgas_pet, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-659.50909
{txt}Iteration 2:   log pseudolikelihood = {res}-575.70064
{txt}Iteration 3:   log pseudolikelihood = {res}-571.36743
{txt}Iteration 4:   log pseudolikelihood = {res}-571.26219
{txt}Iteration 5:   log pseudolikelihood = {res}-571.26204

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    583.81
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-571.26204                 {txt}Pseudo R2       = {res}    0.1404

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res}  .049654   .0281268     1.77   0.078    -.0054736    .1047816
{txt}lag_ln_di~nc {c |}  {res} -.084047   .0317057    -2.65   0.008    -.1461891   -.0219049
      {txt}intbnd {c |}  {res}-.4911712   .2649065    -1.85   0.064    -1.010378    .0280361
  {txt}pop_use_ln {c |}  {res} .1027021   .1986801     0.52   0.605    -.2867038    .4921079
     {txt}ethdiff {c |}  {res} .3352673   .3824258     0.88   0.381    -.4142735    1.084808
    {txt}peaceyrs {c |}  {res} .2283115   .2241474     1.02   0.308    -.2110093    .6676322
    {txt}_spline1 {c |}  {res} .0051925   .0044629     1.16   0.245    -.0035547    .0139398
    {txt}_spline2 {c |}  {res}-.0020153   .0035712    -0.56   0.573    -.0090147    .0049842
    {txt}_spline3 {c |}  {res} -.000846   .0017656    -0.48   0.632    -.0043065    .0026146
{txt}ln_lag_gdppc {c |}  {res} -.491866   .3390704    -1.45   0.147    -1.156432    .1726998
  {txt}lag_growth {c |}  {res}-.0927376   .0273738    -3.39   0.001    -.1463892    -.039086
 {txt}lag_polity2 {c |}  {res}-.0485109   .0689748    -0.70   0.482     -.183699    .0866773
{txt}lag_polity~q {c |}  {res}-.0102335   .0108297    -0.94   0.345    -.0314594    .0109924
 {txt}ln_pop_ssno {c |}  {res}-.4553431   .4236331    -1.07   0.282    -1.285649    .3749625
   {txt}peton_use {c |}  {res} .5987181   .4017638     1.49   0.136    -.1887245    1.386161
    {txt}rdrgas_c {c |}  {res} .1538116   .2823293     0.54   0.586    -.3995437    .7071669
  {txt}rdrgas_pet {c |}  {res} 1.144592   .8862973     1.29   0.197     -.592519    2.881703
       {txt}_cons {c |}  {res} 3.802891    3.14326     1.21   0.226    -2.357785    9.963567
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. * Model E14
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* ln_lag_gdppc  lag_growth lag_polity2 lag_polity2_sq ln_pop_ssno nr_c  rdrgas_c rdrgas_nr, robust cl(gwno)

{txt}Iteration 0:   log pseudolikelihood = {res}-664.58681
{txt}Iteration 1:   log pseudolikelihood = {res}-660.67473
{txt}Iteration 2:   log pseudolikelihood = {res}-569.47574
{txt}Iteration 3:   log pseudolikelihood = {res}-565.01634
{txt}Iteration 4:   log pseudolikelihood = {res}-564.90716
{txt}Iteration 5:   log pseudolikelihood = {res}-564.90701

{txt}Logistic regression                               Number of obs   = {res}      5702
                                                  {txt}Wald chi2({res}17{txt})   = {res}    318.87
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-564.90701                 {txt}Pseudo R2       = {res}    0.1500

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0488592    .027742     1.76   0.078    -.0055142    .1032326
{txt}lag_ln_di~nc {c |}  {res}-.0796785   .0277726    -2.87   0.004    -.1341119   -.0252451
      {txt}intbnd {c |}  {res}-.4358827   .2767201    -1.58   0.115    -.9782441    .1064787
  {txt}pop_use_ln {c |}  {res} .0814542    .201357     0.40   0.686    -.3131982    .4761066
     {txt}ethdiff {c |}  {res} .2592247   .3715499     0.70   0.485    -.4689996     .987449
    {txt}peaceyrs {c |}  {res} .2691378   .2289663     1.18   0.240    -.1796278    .7179035
    {txt}_spline1 {c |}  {res} .0057005   .0046612     1.22   0.221    -.0034353    .0148364
    {txt}_spline2 {c |}  {res}-.0022008   .0036939    -0.60   0.551    -.0094407     .005039
    {txt}_spline3 {c |}  {res} -.000892   .0017976    -0.50   0.620    -.0044153    .0026313
{txt}ln_lag_gdppc {c |}  {res}-.4861459   .3572096    -1.36   0.174    -1.186264     .213972
  {txt}lag_growth {c |}  {res}-.0958652   .0271029    -3.54   0.000     -.148986   -.0427444
 {txt}lag_polity2 {c |}  {res}-.0427634   .0640223    -0.67   0.504    -.1682448     .082718
{txt}lag_polity~q {c |}  {res}-.0086206   .0102533    -0.84   0.400    -.0287168    .0114756
 {txt}ln_pop_ssno {c |}  {res} -.380809   .3866287    -0.98   0.325    -1.138587    .3769694
        {txt}nr_c {c |}  {res} .7070523   .2938857     2.41   0.016     .1310469    1.283058
    {txt}rdrgas_c {c |}  {res} .2147254   .2395858     0.90   0.370     -.254854    .6843049
   {txt}rdrgas_nr {c |}  {res} 1.230351   .4391941     2.80   0.005      .369546    2.091155
       {txt}_cons {c |}  {res} 3.249641    3.02838     1.07   0.283    -2.685874    9.185157
{txt}{hline 13}{c BT}{hline 64}

{com}. 
. 
. 
. 
. 
. ****** Appendix F: Full model
. 
. *** TABLE F1, Full Model
. *Model F1
. logit onset_use lag_ln_dist2cic lag_ln_dist2cinc intbnd pop_use_ln ethdiff ///
>   peaceyrs _spline* education  nr_c  rdrgas_c rdrgas2_c rdrgas_nr asset_gini education_gini, robust cl(gwno) 

{txt}Iteration 0:   log pseudolikelihood = {res}-684.30126
{txt}Iteration 1:   log pseudolikelihood = {res}-594.46571
{txt}Iteration 2:   log pseudolikelihood = {res}-567.66711
{txt}Iteration 3:   log pseudolikelihood = {res}-562.83115
{txt}Iteration 4:   log pseudolikelihood = {res}-562.53983
{txt}Iteration 5:   log pseudolikelihood = {res}-562.53834
{txt}Iteration 6:   log pseudolikelihood = {res}-562.53834

{txt}Logistic regression                               Number of obs   = {res}      6208
                                                  {txt}Wald chi2({res}16{txt})   = {res}    393.96
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-562.53834                 {txt}Pseudo R2       = {res}    0.1779

                                  {txt}(Std. Err. adjusted for {res}22{txt} clusters in gwno)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
   onset_use {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
lag_ln_di~ic {c |}  {res} .0153471   .0583961     0.26   0.793    -.0991072    .1298015
{txt}lag_ln_di~nc {c |}  {res}-.0700188   .0419843    -1.67   0.095    -.1523065    .0122688
      {txt}intbnd {c |}  {res}-.8775382   .3203514    -2.74   0.006    -1.505415    -.249661
  {txt}pop_use_ln {c |}  {res}-.0140163   .1239371    -0.11   0.910    -.2569287     .228896
     {txt}ethdiff {c |}  {res} .3002848   .3829313     0.78   0.433    -.4502467    1.050816
    {txt}peaceyrs {c |}  {res} .4284559    .175831     2.44   0.015     .0838334    .7730785
    {txt}_spline1 {c |}  {res} .0065985   .0030429     2.17   0.030     .0006345    .0125625
    {txt}_spline2 {c |}  {res} -.002477   .0025551    -0.97   0.332     -.007485    .0025309
    {txt}_spline3 {c |}  {res}-.0007769    .001471    -0.53   0.597      -.00366    .0021062
   {txt}education {c |}  {res}-.5992062   .1552074    -3.86   0.000     -.903407   -.2950054
        {txt}nr_c {c |}  {res}  .437549   .1762054     2.48   0.013     .0921927    .7829053
    {txt}rdrgas_c {c |}  {res}-2.191189   .4236699    -5.17   0.000    -3.021567   -1.360811
   {txt}rdrgas2_c {c |}  {res} .9193665   .2473512     3.72   0.000     .4345671    1.404166
   {txt}rdrgas_nr {c |}  {res} .9958965   .4745663     2.10   0.036     .0657637    1.926029
  {txt}asset_gini {c |}  {res} 5.149193   1.555144     3.31   0.001     2.101167    8.197219
{txt}education_~i {c |}  {res}-.6868522   1.167723    -0.59   0.556    -2.975548    1.601843
       {txt}_cons {c |}  {res}-3.939036   2.004647    -1.96   0.049    -7.868071   -.0100002
{txt}{hline 13}{c BT}{hline 64}
Note: 6 failures and 0 successes completely determined.

{com}. 
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{txt}end of do-file

{com}. log close
       {txt}log:  {res}G:\ISQ\g�_rn_jkr_ISQ_rep_online_appendix.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 7 Aug 2008, 16:10:05
{txt}{.-}
{smcl}
{txt}{sf}{ul off}